Asymptotics of conditional moments of the summand in Poisson - - PowerPoint PPT Presentation

asymptotics of conditional moments of the summand in
SMART_READER_LITE
LIVE PREVIEW

Asymptotics of conditional moments of the summand in Poisson - - PowerPoint PPT Presentation

Literatura Asymptotics of conditional moments of the summand in Poisson compound Tomasz Rolski (joint work with Agata Tomanek) Conference in Honour of Sren Asmussen Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional


slide-1
SLIDE 1

Literatura

Asymptotics of conditional moments of the summand in Poisson compound

Tomasz Rolski (joint work with Agata Tomanek) Conference in Honour of Søren Asmussen

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-2
SLIDE 2

Literatura Introduction

N is a Z+-valued r.v.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-3
SLIDE 3

Literatura Introduction

N is a Z+-valued r.v. X, X1, X2, . . . a sequence of i.i.d. Z+ r.v.s independent of N.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-4
SLIDE 4

Literatura Introduction

N is a Z+-valued r.v. X, X1, X2, . . . a sequence of i.i.d. Z+ r.v.s independent of N. We are interested in Nk =d  N

  • N
  • j=1

Xj = k   . In particular we want to know the conditional mean ENk or the conditional variance Var Nk and their asymptotics for k → ∞. In this talk N is Poisson with mean a.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-5
SLIDE 5

Literatura Introduction

Suppose X is Poisson with mean b. We will call this case as (Poi(a),Poi(b)).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-6
SLIDE 6

Literatura Introduction

Suppose X is Poisson with mean b. We will call this case as (Poi(a),Poi(b)). Compute ENk = ∞

m=0 m am m!e−a (mb)k k! e−bm

m=0 am m!e−a (mb)k k! e−bm

= Bc(k + 1) Bc(k) , where Bc(k) =

  • m=1

mk cm m!e−c is the k-th moment of the Poisson distribution and c = ae−b.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-7
SLIDE 7

Literatura Introduction

More generally, E(Nk)l = Bc(k + l) Bc(k) , Var Nk = Bc(k + 1) Bc(k) Bc(k + 2) Bc(k + 1) − Bc(k + 1) Bc(k)

  • .

Therefore of particular interest is ratio Jc(k) = Bc(k + 1)/Bc(k).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-8
SLIDE 8

Literatura Introduction

Interest in asymptotics formulas can be helpful. Jessen et al (2010) show Jc(k) ∼ k/log k, as k → ∞.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-9
SLIDE 9

Literatura Introduction

Interest in asymptotics formulas can be helpful. Jessen et al (2010) show Jc(k) ∼ k/log k, as k → ∞. For c = 1, the asymptotics of J1(k) = J(k) was earlier written in Harper (66), however with redundant e in the denominator.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-10
SLIDE 10

Literatura Introduction

Interest in asymptotics formulas can be helpful. Jessen et al (2010) show Jc(k) ∼ k/log k, as k → ∞. For c = 1, the asymptotics of J1(k) = J(k) was earlier written in Harper (66), however with redundant e in the denominator.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-11
SLIDE 11

Literatura Introduction

Unfortunately, this asymptotics is extremely slow:

Rysunek: Ratio of J(k)/(k/ log k).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-12
SLIDE 12

Literatura Historical comments

Studies of B(k) = B1(k) has a long history. Bell numbers: the k-th number: the number of partitions of a set of size k.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-13
SLIDE 13

Literatura Historical comments

Studies of B(k) = B1(k) has a long history. Bell numbers: the k-th number: the number of partitions of a set of size k. Dobinski (1877): B(k) is equal to the k-th Bell number.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-14
SLIDE 14

Literatura Historical comments

Studies of B(k) = B1(k) has a long history. Bell numbers: the k-th number: the number of partitions of a set of size k. Dobinski (1877): B(k) is equal to the k-th Bell number. De Bruijn (1981) gave log B(n) n = log n − log log n − 1 + o log log n log n

  • .

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-15
SLIDE 15

Literatura Historical comments

Lov´ asz (93)(who quotes Moser and Wyman) B(k) ∼ k−1/2[Λ(k)]k+1/2eΛ(k)−k−1, where Λ(x) is the function defined by Λ(x) log Λ(x) = x.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-16
SLIDE 16

Literatura Historical comments

Lov´ asz (93)(who quotes Moser and Wyman) B(k) ∼ k−1/2[Λ(k)]k+1/2eΛ(k)−k−1, where Λ(x) is the function defined by Λ(x) log Λ(x) = x. The function Λ is related to the Lambert W-function by W (x) = x/Λ(x).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-17
SLIDE 17

Literatura Historical comments

From de Bruijn (1981) W (x) = log x − log log x + O log log x log x

  • ,

and hence Λ(x) ∼ x log x

  • 1 + log log x

log x + O( log log x log x 2 )

  • .

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-18
SLIDE 18

Literatura Historical comments

From de Bruijn (1981) W (x) = log x − log log x + O log log x log x

  • ,

and hence Λ(x) ∼ x log x

  • 1 + log log x

log x + O( log log x log x 2 )

  • .

We also refer to Pitman (97) for interesting connections between Bell numbers and Poisson distributions.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-19
SLIDE 19

Literatura Historical comments

Jessen et al(2010) Bc(k) = (1 + o(1))

  • m∈

h

k(1−ǫ) log k , k(1+ǫ) log k

i mke−c cm

m!,

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-20
SLIDE 20

Literatura Historical comments

Jessen et al(2010) Bc(k) = (1 + o(1))

  • m∈

h

k(1−ǫ) log k , k(1+ǫ) log k

i mke−c cm

m!, from which they concluded Jc(k) = Bc(k + 1)/Bc(k) ∼ k/ log k. We will use their ideas

  • f proof for other cases.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-21
SLIDE 21

Literatura Motivations: reserves in nonlife insurance

Supose Dk is the number of claims in a portfolio appearing in year 0 and paid in the year k k ∈ {0, 1, . . .}.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-22
SLIDE 22

Literatura Motivations: reserves in nonlife insurance

Supose Dk is the number of claims in a portfolio appearing in year 0 and paid in the year k k ∈ {0, 1, . . .}. Suppose we know (Dk), k = 0, . . . , j, for some j ≥ 0. The aim is to estimate the reserves for years j + 1, j + 2, . . . .

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-23
SLIDE 23

Literatura Motivations: reserves in nonlife insurance

Supose Dk is the number of claims in a portfolio appearing in year 0 and paid in the year k k ∈ {0, 1, . . .}. Suppose we know (Dk), k = 0, . . . , j, for some j ≥ 0. The aim is to estimate the reserves for years j + 1, j + 2, . . . . Natural estimator seems to be expected value conditioned on N0, . . . , Nj: ˆ Dj+l = E

  • Dj+l
  • D0, . . . , Dj
  • dla

l = 0, 1, . . . .

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-24
SLIDE 24

Literatura Motivations: reserves in nonlife insurance

Supose Dk is the number of claims in a portfolio appearing in year 0 and paid in the year k k ∈ {0, 1, . . .}. Suppose we know (Dk), k = 0, . . . , j, for some j ≥ 0. The aim is to estimate the reserves for years j + 1, j + 2, . . . . Natural estimator seems to be expected value conditioned on N0, . . . , Nj: ˆ Dj+l = E

  • Dj+l
  • D0, . . . , Dj
  • dla

l = 0, 1, . . . . See e.g. Mack (1993, 1994)

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-25
SLIDE 25

Literatura Motivations: reserves in nonlife insurance

Jessen et al (2010)

M–number of claims in year 0 qm = P(M = m), m = 0, 1, . . . ;

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-26
SLIDE 26

Literatura Motivations: reserves in nonlife insurance

Jessen et al (2010)

M–number of claims in year 0 qm = P(M = m), m = 0, 1, . . . ; the m-th claim causes the stream Km of payments, where (Km) iid Poisson(µ);

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-27
SLIDE 27

Literatura Motivations: reserves in nonlife insurance

Jessen et al (2010)

M–number of claims in year 0 qm = P(M = m), m = 0, 1, . . . ; the m-th claim causes the stream Km of payments, where (Km) iid Poisson(µ); k-th payment is in year Ymk, where (Ymk)m,k=1,2,... are iid with pf pj = P(Y11 = j), j = 0, 1, . . . ;

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-28
SLIDE 28

Literatura Motivations: reserves in nonlife insurance

Jessen et al (2010)

M–number of claims in year 0 qm = P(M = m), m = 0, 1, . . . ; the m-th claim causes the stream Km of payments, where (Km) iid Poisson(µ); k-th payment is in year Ymk, where (Ymk)m,k=1,2,... are iid with pf pj = P(Y11 = j), j = 0, 1, . . . ; M, (Km), (Ymk) are independent.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-29
SLIDE 29

Literatura Motivations: reserves in nonlife insurance

Jessen et al (2010)

M–number of claims in year 0 qm = P(M = m), m = 0, 1, . . . ; the m-th claim causes the stream Km of payments, where (Km) iid Poisson(µ); k-th payment is in year Ymk, where (Ymk)m,k=1,2,... are iid with pf pj = P(Y11 = j), j = 0, 1, . . . ; M, (Km), (Ymk) are independent. Dj–number of payments of claims from year 0 paid in year j: Dj =

M

  • m=1

Km

  • k=1

1{Ymk=j}, j = 0, 1, . . . ;

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-30
SLIDE 30

Literatura Motivations: reserves in nonlife insurance

Jessen et al (2010)

Denote by Xmk the value of the k-th payment in the m-th claim ( (Xmk) are iid and independent of M, (Km) and (Ymk)), then Sj =

M

  • m=1

Km

  • k=1

Xmk1{Ymk=j}, j = 0, 1, . . . is the total payment in the year j.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-31
SLIDE 31

Literatura Motivations: reserves in nonlife insurance

Jessen et al (2010)

Denote by Xmk the value of the k-th payment in the m-th claim ( (Xmk) are iid and independent of M, (Km) and (Ymk)), then Sj =

M

  • m=1

Km

  • k=1

Xmk1{Ymk=j}, j = 0, 1, . . . is the total payment in the year j. Then ˆ Sj+l = E(X11) ˆ Dj+l.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-32
SLIDE 32

Literatura Motivations: reserves in nonlife insurance

Theorem

Theorem (Jessen et al (2010)) If EM < ∞, then ˆ Dj+l = µ pj+l E

  • M
  • D0 + · · · + Dj = n0 + · · · + nj
  • .

Thus asymptotics is of interest: Rk,j = E

  • M
  • D0 + · · · + Dj = k
  • przy k → ∞.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-33
SLIDE 33

Literatura Motivations: reserves in nonlife insurance

Asymptotics - M ∼ Poi(λ)

In this case Rk,j = E

  • M

k+1 E

  • M

k , where M is Poisson with parameter c = λe−θj .

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-34
SLIDE 34

Literatura Motivations: reserves in nonlife insurance

Asymptotics - M ∼ Poi(λ)

In this case Rk,j = E

  • M

k+1 E

  • M

k , where M is Poisson with parameter c = λe−θj .

Lemma (Jessen eta al (2010) M ∼ Poisson(λ). Then Jc(k) = E(M)k+1 E(M)k ∼ k log k , for k → ∞.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-35
SLIDE 35

Literatura Motivations: reserves in nonlife insurance

Remarks

Comparison of Jc(k) i k/ log k.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-36
SLIDE 36

Literatura Motivations: reserves in nonlife insurance Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-37
SLIDE 37

Literatura Motivations: reserves in nonlife insurance Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-38
SLIDE 38

Literatura Motivations: reserves in nonlife insurance

(Matsui and Mikosch (2010))

N - Poisson process with rate a;

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-39
SLIDE 39

Literatura Motivations: reserves in nonlife insurance

(Matsui and Mikosch (2010))

N - Poisson process with rate a; T(1) < T(2) < . . . < TM(1) - consecutive points in [0, 1].

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-40
SLIDE 40

Literatura Motivations: reserves in nonlife insurance

(Matsui and Mikosch (2010))

N - Poisson process with rate a; T(1) < T(2) < . . . < TM(1) - consecutive points in [0, 1]. (Lk(t), t ≥ 0), k = 1, 2, . . . i.i.d. Levy processes.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-41
SLIDE 41

Literatura Motivations: reserves in nonlife insurance

(Matsui and Mikosch (2010))

N - Poisson process with rate a; T(1) < T(2) < . . . < TM(1) - consecutive points in [0, 1]. (Lk(t), t ≥ 0), k = 1, 2, . . . i.i.d. Levy processes. Poisson cluster of Levy processes: S(t) =

N(1)

  • k=1

Lk(t − T(k)), t ≥ 1.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-42
SLIDE 42

Literatura Motivations: reserves in nonlife insurance

(Matsui and Mikosch (2010))

Probabilistically equivalent to: S(t) =

N(1)

  • k=1

Lk(t − Tk), where T1, T2, . . . , are iid ∼U[0, 1]

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-43
SLIDE 43

Literatura Motivations: reserves in nonlife insurance

(Matsui and Mikosch (2010))

Probabilistically equivalent to: S(t) =

N(1)

  • k=1

Lk(t − Tk), where T1, T2, . . . , are iid ∼U[0, 1] (Lk), N(t), (Ti) are independent.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-44
SLIDE 44

Literatura Motivations: reserves in nonlife insurance

Rolski and Tomanek (2011))

For simplicity assume Lk(t) assumes integer values only.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-45
SLIDE 45

Literatura Motivations: reserves in nonlife insurance

Rolski and Tomanek (2011))

For simplicity assume Lk(t) assumes integer values only. ELk(1) = b < ∞.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-46
SLIDE 46

Literatura Motivations: reserves in nonlife insurance

Rolski and Tomanek (2011))

For simplicity assume Lk(t) assumes integer values only. ELk(1) = b < ∞. Niech S(t, t + s] = S(t + s) − S(t), t ≥ 1, s > 0.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-47
SLIDE 47

Literatura Motivations: reserves in nonlife insurance

Rolski and Tomanek (2011))

For simplicity assume Lk(t) assumes integer values only. ELk(1) = b < ∞. Niech S(t, t + s] = S(t + s) − S(t), t ≥ 1, s > 0. Proposed estimator:

  • Sk(t, t + s] = E[S(t, t + s]|S(t) = k]

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-48
SLIDE 48

Literatura Motivations: reserves in nonlife insurance

Lemma dla t ≥ 1

  • Sk(t, t + s]

= bsE(M(1)|

N(1)

  • k=1

Lk(t − Tk) = k) = bsE(N(1)|

N(1)

  • j=1

Xj = k), gdzie X1, X2, . . . , are iid.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-49
SLIDE 49

Literatura Motivations: reserves in nonlife insurance

Question How to compute!!! ENk = E(N(1)|

M(1)

  • j=1

Xj = k).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-50
SLIDE 50

Literatura Motivations: reserves in nonlife insurance

Suppose Lk are Poisson processes.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-51
SLIDE 51

Literatura Motivations: reserves in nonlife insurance

Suppose Lk are Poisson processes. Then X1, X2, . . ., where Xi = Li(t − Ti) are i.i.d. r.v.s

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-52
SLIDE 52

Literatura Motivations: reserves in nonlife insurance

Suppose Lk are Poisson processes. Then X1, X2, . . ., where Xi = Li(t − Ti) are i.i.d. r.v.s ∼mixPoisson(F),

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-53
SLIDE 53

Literatura Motivations: reserves in nonlife insurance

Suppose Lk are Poisson processes. Then X1, X2, . . ., where Xi = Li(t − Ti) are i.i.d. r.v.s ∼mixPoisson(F), where F ∼ U(t − 1, t).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-54
SLIDE 54

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Conditioned moments

Nk =d  N

  • N
  • j=1

Xj = k   , where N ∼Poi(a), X1, X2, . . . , are i.i.d. with values Z+.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-55
SLIDE 55

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Conditioned moments

Nk =d  N

  • N
  • j=1

Xj = k   , where N ∼Poi(a), X1, X2, . . . , are i.i.d. with values Z+.

  • 1. (Poi(a),Poi((b)) case. X ∼Poi((b).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-56
SLIDE 56

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Conditioned moments

Nk =d  N

  • N
  • j=1

Xj = k   , where N ∼Poi(a), X1, X2, . . . , are i.i.d. with values Z+.

  • 1. (Poi(a),Poi((b)) case. X ∼Poi((b).

Then ENk = Bc(k + 1) Bc(k) , where Bc(k) =

  • m=1

mk cm m!e−c i c = ae−b.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-57
SLIDE 57

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Conditional moments

In general E(Nk)l = Bc(k + l) Bc(k)

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-58
SLIDE 58

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Conditional moments

In general E(Nk)l = Bc(k + l) Bc(k) and Var Nk = Bc(k + 2) Bc(k) − Bc(k + 1) Bc(k) 2 (1) = Bc(k + 1) Bc(k) Bc(k + 2) Bc(k + 1) − Bc(k + 1) Bc(k)

  • .

(2)

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-59
SLIDE 59

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Asymptotics

Proposition For c > 0 ENk ∼ Λc(k + 1) and Var Nk ∼ Λc(k + 1)2 Λc(k + 1) + k ,

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-60
SLIDE 60

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Asymptotics

Proposition For c > 0 ENk ∼ Λc(k + 1) and Var Nk ∼ Λc(k + 1)2 Λc(k + 1) + k , where Λc(k) log(Λc(n)/c) = n.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-61
SLIDE 61

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Asymptotics

Rysunek: Comparison of Jc(k) and Λc.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-62
SLIDE 62

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Asymptotics

Rysunek: Comparison for variances.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-63
SLIDE 63

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

General scheme

Consider G(k) =

  • m≥1

fk(m), F(k) =

  • m≥1

mfk(m), and quotient R(k) = F(k)/G(k).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-64
SLIDE 64

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

General scheme

Consider G(k) =

  • m≥1

fk(m), F(k) =

  • m≥1

mfk(m), and quotient R(k) = F(k)/G(k). for example fk(m) = mk cm

m!.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-65
SLIDE 65

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

General scheme

Consider G(k) =

  • m≥1

fk(m), F(k) =

  • m≥1

mfk(m), and quotient R(k) = F(k)/G(k). for example fk(m) = mk cm

m!.

An idea: λ(k), where sequence (fk(m))m achieves its maximum.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-66
SLIDE 66

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

General scheme

Consider G(k) =

  • m≥1

fk(m), F(k) =

  • m≥1

mfk(m), and quotient R(k) = F(k)/G(k). for example fk(m) = mk cm

m!.

An idea: λ(k), where sequence (fk(m))m achieves its maximum. For qk(m) = fk(m + 1) fk(m) λ(k) is the solution of the so called λ-equation qk(λ) = 1.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-67
SLIDE 67

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Let for ǫ > 0

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-68
SLIDE 68

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Let for ǫ > 0 l∗ = l∗(k) = ⌊(1 − ǫ)λ(k)⌋, r∗ = r∗(k) = ⌈(1 + ǫ)λ(k)⌉

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-69
SLIDE 69

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

General scheme

A.1. for big k, λ-equation has the unique solution.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-70
SLIDE 70

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

General scheme

A.1. for big k, λ-equation has the unique solution. A.2. for k → ∞ fk(l∗) fk(λ) → 0, fk(r∗) fk(λ) → 0.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-71
SLIDE 71

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

General scheme

A.1. for big k, λ-equation has the unique solution. A.2. for k → ∞ fk(l∗) fk(λ) → 0, fk(r∗) fk(λ) → 0. A.3. ρk = sup

m≥r∗ qk(r∗),

ρ

k = sup m≤r∗(1/qk(r∗))

i lim sup

k

ρk < 1, lim sup

k

ρ

k < 1.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-72
SLIDE 72

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

General scheme

Proposition If A.1–A.3 hold, then R(k) ∼ λ(k) for k → ∞.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-73
SLIDE 73

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Consider (Poi(a),Poi(b)). fk(l) = lk cl l! , c = ae−b. Then qk(l) = c l + 1 l + 1 l k , and hence

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-74
SLIDE 74

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Consider (Poi(a),Poi(b)). fk(l) = lk cl l! , c = ae−b. Then qk(l) = c l + 1 l + 1 l k , and hence λ-equation: c λ + 1 λ + 1 λ k = 1.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-75
SLIDE 75

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

(Poi(a),Poi(b)) – case

Different results for (Poi(a),Poi(b)).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-76
SLIDE 76

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

(Poi(a)),mixPoi(b)) – case

Consider (Poi(a)),mixPoi(b)).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-77
SLIDE 77

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

(Poi(a)),mixPoi(b)) – case

Consider (Poi(a)),mixPoi(b)). If ξ ∼ F, then mixPoi(F) is mixed Poisson with mixing distr. F.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-78
SLIDE 78

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

(Poi(a)),mixPoi(b)) – case

Consider (Poi(a)),mixPoi(b)). If ξ ∼ F, then mixPoi(F) is mixed Poisson with mixing distr. F. Then X ∼mixPoi(F) i.e. P(X = k) = E ξk k!e−ξ

  • .

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-79
SLIDE 79

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Special case – (Poi(a)),mixPoi(b))

Some remarks:

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-80
SLIDE 80

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Special case – (Poi(a)),mixPoi(b))

Some remarks: We have fk(m) = mk m! Ck(m). where Ck(m) = E(ξ1 + . . . + ξm)ke−(ξ1+...+ξm).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-81
SLIDE 81

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Special case – (Poi(a)),mixPoi(b))

Some remarks: We have fk(m) = mk m! Ck(m). where Ck(m) = E(ξ1 + . . . + ξm)ke−(ξ1+...+ξm). Denote Sm = ξ1 + . . . + ξm.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-82
SLIDE 82

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Specjalny przypadek; (Poi(a)),mixPoi(b))

Let φ(s) = Ee−ξs

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-83
SLIDE 83

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Specjalny przypadek; (Poi(a)),mixPoi(b))

Let φ(s) = Ee−ξs and define P(s) = e−sξ dP/φ(s)

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-84
SLIDE 84

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Specjalny przypadek; (Poi(a)),mixPoi(b))

Let φ(s) = Ee−ξs and define P(s) = e−sξ dP/φ(s) Notation: ˜ E = E(1)

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-85
SLIDE 85

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Specjalny przypadek; (Poi(a)),mixPoi(b))

Let φ(s) = Ee−ξs and define P(s) = e−sξ dP/φ(s) Notation: ˜ E = E(1) Then E(ξ1 + . . . + ξm)ke−(ξ1+...+ξm) = φm(1)˜ E(ξ1 + . . . + ξm)k.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-86
SLIDE 86

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Special case – (Poi(a)),mixPoi(b))

For this case the λ-equation is: c l + 1 l + 1 l k ˜ E¯ Sk

l+1

˜ E¯ Sk

l

= 1.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-87
SLIDE 87

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Special case – (Poi(a)),mixPoi(b))

For this case the λ-equation is: c l + 1 l + 1 l k ˜ E¯ Sk

l+1

˜ E¯ Sk

l

= 1. We know that for k → ∞: l l + 1 ˜ E¯ Sk

l+1

˜ E¯ Sk

l

∼ ˜ f (r)(1 + o(1)). Unfortunately this is not uniform with respect l.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-88
SLIDE 88

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Thus only conjecture:

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-89
SLIDE 89

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

Thus only conjecture: Conjecture Suppose 0 < ˜ f (r−) < ∞. EMk ∼ λ(k) ∼ Λc

(k), where c

′ = c˜

f (r−) and λ is the solution of λ-equation c

l + 1 l + 1 l k+2 = 1.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-90
SLIDE 90

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

(Poi(a)),mixPoi(F)); exponential ξ.

Let ξ ∼Exp(b)

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-91
SLIDE 91

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

(Poi(a)),mixPoi(F)); exponential ξ.

Let ξ ∼Exp(b) Ck(m) = ˜ E(ξ1 + . . . + ξm)k = (m + k − 1)! (b + 1)k(m − 1)!.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-92
SLIDE 92

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

(Poi(a)),mixPoi(F)); exponential ξ.

Let ξ ∼Exp(b) Ck(m) = ˜ E(ξ1 + . . . + ξm)k = (m + k − 1)! (b + 1)k(m − 1)!. The solution of λ-equation λ(k) ∼ √ Ck as k → ∞, where C = ab/(b + 1).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-93
SLIDE 93

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

(Poi(a)),mixPoi(F)); exponential ξ.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-94
SLIDE 94

Literatura Asymptotic of conditional moments ... (Rolski and Tomanek (2011)

(Poi(a)),mixPoi(F)); wykładnicze ξ.

Proposition EMk ∼ λ(k).

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-95
SLIDE 95

Literatura Research in progress; preliminary results

Saddlepoint approximations - see Asmussen and Albrecher (2010) E[N|A = k] = Eθ[N; N

j=1 Xj = k]

Pθ(N

j=1 Xj = k)

and θ is the solution Eθ

N

  • j=1

Xj = k

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-96
SLIDE 96

Literatura Research in progress; preliminary results

Continuous-time models for claims reserving. N(t) is a nonhomogeneous Poisson process,

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-97
SLIDE 97

Literatura Research in progress; preliminary results

Continuous-time models for claims reserving. N(t) is a nonhomogeneous Poisson process, L(t) = M

j=1(t)Uk, where M(t) is a nonhomogeneous Poisson

process,

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-98
SLIDE 98

Literatura Research in progress; preliminary results

Continuous-time models for claims reserving. N(t) is a nonhomogeneous Poisson process, L(t) = M

j=1(t)Uk, where M(t) is a nonhomogeneous Poisson

process, S(t) = N(1)

j=1 Li(t − Ti), where L1, L2, . . . are iid copies.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-99
SLIDE 99

Literatura

Asmusses, S. and Albrecher, H. Ruin Theory de Bruijn, N.G. (1981). Asymptotic Methods in Analysis, Dover, New York. Harper, L.H.(1966)Stirling behavior is asymptotically normal,

  • Ann. Math. Stat., 38, 287–295.

Lov´ asz, L. (1993) Combinatorial Problems and Exercises North Holland, Amsterdam. Jessen, A.H. Mikosch, T. and Samorodnitsky, G. (2009) Prediction of outstanding payments in a Poisson cluster, submitted. Matsui, M. and Mikosch, T. (2010) Prediction in a Poisson cluster model J. Appl. Probab.. Norberg, R. (1993) Prediction of outstanding liabilities in non-life insurance, ASTIN Bull. 23, 95–115.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound

slide-100
SLIDE 100

Literatura Research in progress; preliminary results

Norberg, R. (1999) Prediction of outstanding liabilities; II Model variations and extensions, ASTIN Bull. 29, 5–25. Pitman, J. (1997) Some probabilistic aspects of set partitions

  • Amer. Math. Monthly, 201–209.

Renyi (1970) Probability Theory, Akademia Kiadó, Budapest, Rolski, T. and Tomanek, A. (2011) Asymptotics of conditional moments of the summand in Poisson compounds Rolski, T. and Tomanek, A. Continuous-time models for claims reserving In preparation.

Tomasz Rolski (joint work with Agata Tomanek) Asymptotics of conditional moments of the summand in Poisson compound