The length of the interval of indeterminacy for the estimate of multiple change-points

This article considers the problem of estimating the length of the interval of indeterminacy during construction of change-points' estimates using dynamical programming. It was proved that mathematical expectation of the length of the interval has asymptotically linear dependency on the penalty...

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Date:2007
Main Author: Shurenkov, G.
Format: Article
Language:English
Published: Інститут математики НАН України 2007
Online Access:https://nasplib.isofts.kiev.ua/handle/123456789/4494
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Cite this:The length of the interval of indeterminacy for the estimate of multiple change-points / G. Shurenkov // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 1-2. — С. 251-266. — Бібліогр.: 8 назв.— англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Shurenkov, G.
author_facet Shurenkov, G.
citation_txt The length of the interval of indeterminacy for the estimate of multiple change-points / G. Shurenkov // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 1-2. — С. 251-266. — Бібліогр.: 8 назв.— англ.
collection DSpace DC
description This article considers the problem of estimating the length of the interval of indeterminacy during construction of change-points' estimates using dynamical programming. It was proved that mathematical expectation of the length of the interval has asymptotically linear dependency on the penalty for a change of distribution when the number of estimations tends to infinity.
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fulltext ΞN = { ξN 1 , . . . , ξN N } N ≥ 1 {ξN 1 , . . . , ξN N } = {ξ1, . . . , ξN} {F1, . . . , FK} P(ξj ∈ A) = Fh0 j (A) h0 = {h0 j , j = 1, . . . , N} h0 j ∈ {1, . . . , K} h0 j = const kj = [θiN ] < j ≤ [θi+1N ] 0 = θ0 < θ1 < . . . < θR < θR+1 = 1 kj h h0 {ξ1, . . . , ξN} Γ = {1, . . . , K} φ(·, j):R �→ R, j ∈ Γ. φ HN = {(h1, ..., hN) | hj ∈ Γ, j = 1, ..., N} , H = ⋃ N HN . J :H �→ R h ∈ Hn J(h) = n∑ i=1 (φ(ξi, hi) − πN(hi, hi−1)), πN(g, l) = πN 1g �=l, πN > 0 ĥ = argmax h∈HN J(h). h0 ĥ k̂1 = k1(ĥ) = min { l | ĥl �= ĥj, 1 ≤ j < l } k̂i = ki(ĥ) = min { l | ĥl �= ĥj , ki−1(ĥ) ≤ j < l } i ĥ ĥ i g h J(h) = J(g) ĥ θ̄ = mini�=j |θi − θj |, φki(x) = φ(x, k) − φ(x, i). ĥ gj(l) = argmax h={h0,...,hj−1,hj},hj=l J(h), l ∈ Γ gj+1 j (l) = argmax i∈Γ ( J(gj(i)) + φ(ξj+1, l) − πN(i, l) ) , ĥ = argmax h=hN(l),l∈Γ J(h). ĥu = argmax h=gu(l),l∈Γ J(h) gj(l) s χ(s) = min { t > s | gt s(i) = gt s(1), i ∈ Γ } . χ(s) s Δχ(s) = χ(s)−s χ(s, k) = min{t > s | gt s(i) = k, i ∈ Γ}, k ∈ Γ, χ(s) = min k∈Γ χ(s, k). i t gt+1(i) h g J(h) > J(g) i t J(gt(i)) > J(gt(j)), j ∈ Γ, j �= i i t J(gt(i)) ≥ J(gt(j)), j ∈ Γ t ĥt α ∈ R i α t J(gt(i)) > J(gt(j)) − α, j ∈ Γ, j �= i. i α t J(gt(i)) ≥ J(gt(j)) − α, j ∈ Γ, j �= i. α t Ot α Pk(·) ξ1, . . . ξN Fk Ek κ = mini�=j Eφji(ζj) > 0, ζj Fj φji(ζj) ≤ C < ∞, i, j ∈ Γ Dφji(ζj) < σ2 < ∞, i, j ∈ Γ φ(x, j) ξ1, . . . ξN wki 0 = wki 0 (t0) = t0, w ki 1 (t0) = min { t > t0 | max t0<u≤t ∑u j=t0+1 φki(ξj) > πN } wk 0 = wk 0(t0) = t0, wki l (t0) = wki l (t0) = wki 1 (wk l−1(t0)) wk l = wk l (t0) = wk l (t0) = maxi�=k wki l (t0) vk l = vk l (t0) = vk l (t0) = wk 3l(t0) E = {E(t1, t2) | t1 < t2} , E(t1, t2) = { min i�=k min t1<l1≤l2≤t2 l2∑ j=l1 φki (ξj) > −πN 2 } , t1 < t2 vk E = vk E(t0) = vk E(t0, φ) = min{vk 1(t) | E(s, vk 1(s)) , t ≥ t0} ṽk E = ṽk E(t0) = ṽk E(t0, φ) = min{vk l (t0)|E(vk l−1, v k l ) } vk E(t0) ≤ ṽk E(t0) t0 χ(s) ≤ min k∈Γ vk E(t0), t0 ≥ s. EΔχ(t) ≤ 6(πN + C)(K − 1)(1 + θ−1) C1κ , C1 = 1 − 48σ2(K − 1)2 πN πN + C πNκ . ∃u 0 ≤ u ≤ t gt(k) = { ĥu 1 , . . . ĥ u u, k, . . . , k } {k, . . . , k} u + 1 gt(k) h′ = {gt 1(k), . . . , gt u(k)} h′′ = { ĥu 1 , . . . ĥ u u, k, . . . , k } gt(k) J(gt(k)) = J(h′) − πN + t∑ j=u+1 φ(ξj, k) < J(ĥu) − πN + t∑ j=u+1 φ(ξj, k) = J(h′′). k gt(k) t t k t J(ĥt t) = J(gt(k)) gt+1(k) g̃t(k) = { gt+1 1 (k), ..., gt+1 t (k) } , g̃t+1(k) = { gt 1(k), ..., gt t(k), k } . gt+1(k) g̃t+1(k) gt+1(k) g̃t+1(k) J(gt+1(k)) ≥ J(g̃t+1(k)) = J(gt(k)) + φ(ξt+1, k). J(gt+1(k)) = J(g̃t(k)) − πN + φ(ξt+1, k). gt+1(k) k t J(gt(k)) ≥ J(g̃t(k)). 0 ≥ J(g̃t(k)) − J(gt(k)) = J(gt+1(k)) − J(g̃t+1(k)) + πN ≥ πN . i t J ( ĥt ) − J ( gt(i) ) > πN i t gt(i) �= ĥt J(gt(i)) < J(ĥt) gt+1(i) {gt 1(i), . . . , g t t(i), i} J(gt+1(i)) = J(ĥt) − πN + φ(ξt+1, i) > J(gt(i)) + φ(ξt+1, i) J(ĥt) − J(gt(i)) > πN . gt+1(i) g̃t+1(i) = { ĥt 1, ..., ĥ t t, i } . gt+1(i) J(g̃t+1(i))− J(gt+1(i)) = J(ĥt)− πN + φ(ξt+1, i)− J(gt(i)) − φ(ξt+1, i) > 0. gt+1(i) t i i t t πN i, k ∈ Γ, i �= k, t > t0, t0 ≤ u < t, x ∈ R α, αu ∈ [0, πN ] Ctu ki (x, α) = {∑t j=u+1 φki(ξj) > α − πN + x, k ∈ Ou α } , Dtu ki(x) = {∑t j=u+1 φki(ξj) > x } . ⋂ t0≤u<t ( Ctu ki (x, αu) ∪ Dtu ki(x) ) ∩ Dtt0 ki (πN + x) J ( gt(k) )− J ( gt(i) ) > x gt(i) t0 t u gt(i) k α u − 1 t∑ j=u φki (ξj) > x − πN + α. gu(i) J(gu(i)) ≤ J(gu−1(k)) − πN + α + φ(ξu, i) u − 1 i k α α ≥ 0 J(gu−1(k)) + t∑ j=u φ(ξj, k) − J(gu(i)) − t∑ j=u+1 φ (ξj, i) > x. J(gt(k)) ≥ J(gu−1(k)) + ∑t j=u φ(ξj, k) J ( gt(k) )− J (gu(i)) − t∑ j=u+1 φ (ξj, i) > x. t∑ j=u φki (ξj) > x. J(gu(k)) ≥ J(ĥu−1) − πN + φ(ξu, k), J(gu(i)) = J(ĥu−1) − πN + φ(ξu, i). J (gu(k)) + t∑ j=u+1 φ (ξj , k) − J(gu(i)) − t∑ j=u+1 φ(ξj, i) > x J(gt(k)) − J(gu(i)) − t∑ j=u+1 φ(ξj, i) > x gt(i) [t0, t] t∑ j=t0+1 φki (ξj) > πN + x J(gt(k)) ≥ J(gt0(i)) + ∑t j=t0+1 φ(ξj, k) − πN J(gt(k)) − J(gu(i)) − t∑ j=u+1 φ(ξj, i) > x. k [t0, w k 1(t0)] gwk 1 (t0)(i) k i k t0 J(gt0(k)) − J(gt0(i)) > 0 i �= k wki 1 (t0)∑ j=t0+1 φki(ξj) > πN . (t0, w k 1(t0)] g̃(i) = { gt0 1 (k), . . . gt0 t0 (k), k, . . . , k, i, . . . i } , k i wk 1(t0) ḡ(i) = { gt0 1 (i), . . . gt0 t0 (i), i, . . . i } . J(g̃(i)) − J(ḡ(i)) = J(gt0(k)) − J(gt0(i)) + wki 1 (t0)∑ j=t0+1 φki(ζj) − πN > 0. gwk 1 (t0)(i) i (t0, w k 1(t0)] gwk 1 (t0)(i) k i t0 χ(s, k) ≤ vk E(t0), t0 ≥ s. E(vk l−1(t0), v k l (t0)) wl = wk l (t0). [w3l−2, w3l) k πN 2 ⋂ i�=k ⋂ w3l−3<u≤t Dtu ki ( −πN 2 ) ∩ D tw3l−3 ki (πN 2 ) w3l−2 ≤ t < w3l k πN 2 Dtu ki ( −πN 2 ) = { t∑ j=u+1 φki(ξj) > −πN 2 } E(vk l−1, v k l ) = { min i�=k min vk l−1<l1≤l2≤vk l l2∑ j=l1 φki (ξj) > −πN 2 } wki l t∑ j=w3l−3+1 φki (ξj) = wki 3l−2∑ j=w3l−3+1 φki (ξj) + t∑ j=wki 3l−2+1 φki (ξj) > πN − πN 2 = πN 2 . D tw3l−3 ki ( πN 2 ) k πN 2 [w3l−1, w3l) k ⋂ i�=k ⋂ w3l−3<u≤w3l−2 Dtu ki (0) ∩ ⋂ w3l−2<u≤t Ctu ki ( 0,−πN 2 ) ∩ D tw3l−3 ki (πN ) . w3l−1 ≤ t < w3l u ∈ [w3l−3, w3l−2) Dtu ki (0) t∑ j=w3l−2+1 φki (ξj) > πN 2 w3l−2∑ j=u φki (ξj) > −πN 2 . u ∈ [w3l−2, w3l−1) Ctu ki ( 0,−πN 2 ) E(vk l−1, v k l ) k πN 2 [w3l−2, w3l−1) D tw3l−3 ki (πN ) w3l−2∑ j=w3l−3+1 φki (ξj) + wki 3l−1∑ j=w3l−2+1 φki (ξj) + t∑ j=wki 3l−1+1 φki (ξj) > πN 2 + πN − πN 2 = = πN , t ∈ [w3l−1, w3l). k [w3l−1, w3l) gvl(i) w3l−1 χ(s, k) ≤ vk E(t0). Ej = E(vk j−1, v k j ) ξj Fk Ek ṽk E ≤ Ek vk 1 Pk(E(0, vk 1)) E(ξ | A) = ∫ ξ(ω)P(dω | A) ξ1, ...ξN ξN+1, . . . Fk ṽk E Ek ṽk E ≤ ∞∑ l=1 Ek(v k l | ∩l−1 j=1Ej ∩ El)Pk (∩l−1 j=1Ej ∩ El ) = ∞∑ l=1 l∑ j=1 Ek(Δvk j | ∩l−1 j=1Ej ∩ El)Pk (∩l−1 j=1Ej ∩ El ) = Ek(v k 1 | E)Pk(E) ∞∑ l=0 l(1 − Pk(E)l + Ek(v k 1 | E) = Ek(v k 1 | E)Pk(E)Pk(E)−1 + Ek(v k 1 | E) = Ek(v k 1 ) Pk(E) ξj Fk Ek wk 1(t0) − t0 ≤ (K − 1)(πN + C) κ . ξ1, . . . ξN Ewk 1(t0) − t0 = Ewk 1(0). wk 1(0) = maxi�=k wki 1 (0) ≤∑i�=k wki 1 (0) Ewk 1(0) ≥ ∑ i�=k Ewki. Ewki E wki∑ j=1 φki (ξj) ≤ πN + C κ , Ewk 1(0) ≤ (K − 1)(πN + C) κ . ξ1, . . . ξN Δwj(t0) Ek vk 1(t0) − t0 ≤ 3(K − 1)(πN + C) κ . ξ1, . . . ξN Fk P ( min i�=k min 1≤l1≤l2≤vk 1 l2∑ j=l1 φki (ξj) > −πN 2 ) ≥ 1 − 48σ2(K − 1)2 πN πN + C κπN P ⎛ ⎝min i�=k min 1≤l1≤l2≤vk 1 l2∑ j=l1 φki (ξj) ≤ −πN 2 ⎞ ⎠ ≤ ∑ i�=k P ⎛ ⎝ min 1≤l1≤l2≤vk 1 l2∑ j=l1 φki (ξj) ≤ −πN 2 ⎞ ⎠ P ( min 1≤l1≤l2≤vk 1 l2∑ j=l1 φki (ξj) ≤ −πN 2 ) ≤ P ( min 1≤l1≤l2≤vk 1 l2∑ j=l1 ( φki (ξj) − Eφki (ξj) ) ≤ −πN 2 ) ≤ P ( max 1≤l1≤l2≤vk 1 ∣∣∣∣∣ l2∑ j=l1 ( φki (ξj) − Eφki (ξj) )∣∣∣∣∣ ≥ πN 2 ) ≤ P ( max 1≤l1≤vk 1 ∣∣∣∣∣ l1∑ j=1 ( φki (ξj) − Eφki (ξj) )∣∣∣∣∣ ≥ πN 4 ) P ( max 1≤l1≤vk 1 ∣∣∣∣∣ l1∑ j=1 ( φki (ξj) − Eφki (ξj) )∣∣∣∣∣ ≥ πN 4 ) ≤ 16 π2 N D vk 1∑ j=1 φki (ξj) ≤ 16σ2Evk 1 π2 N ≤ 48σ2(K − 1)(πN + C) κπ2 N P ( min i�=k min 1≤l1≤l2≤vk 1 l2∑ j=l1 φki (ξj) > −πN 2 ) ≥ 1 − 48σ2(K − 1)2(πN + C) κπ2 N . t0 ≥ t χ(t) ≤ min k∈Γ vk E(t0), EΔχ(t) ≤ 2(1 + θ̄−1) max k∈Γ Ek vk E v(s) = vk E(s), k = h0 s ρ(s) s v(s) ks s ks n n s EΔχ(t) = EΔχ(t) 1ρ(t)=0 +EΔχ(t) 1ρ(t)=1 +EΔχ(t) 1ρ(t)>1 = a1 + a2 + a3 a2 EΔχ(t) 1ρ(t)=1 = E ( χ(t) − kt ) 1ρ(t)=1 +E ( kt − t ) 1ρ(t)=1 ≤ E max(χ(t) − kt, 0) 1ρ(t)=1 +E(kt − t) 1ρ(t)=1 = a21 + a22 a1 + a22 kt > t χ(t) ≤ v(t) EΔχ(t) 1ρ(t)=0 +E(kt − t) 1ρ(t)=1 ≤ EΔχ(t) 1ρ(t)=0 +E(kt − t) 1ρ(t)≥1 ≤ E ( Δχ(t) 1v(t)<kt +(kt − t) 1v(t)≥kt ) ≤ E min ( Δv(t), kt − t ) ξj (t, kt] E min(Δv(t), kt − t) = Eh0 t min(Δv(t), kt − t) ≤ Eh0 t v(t) ≤ max k∈Γ Ek vk E(0), a21 Emax ( χ(t) − kt, 0 ) 1ρ(t)=1 ≤ E min ( max(χ(t) − kt, 0), kt 2 − kt ) ≤ E min ( max(v(kt) − kt, 0), kt 2 − kt ) = Emin ( Δv(kt), kt 2 − kt ) E min(Δv(kt), kt 2 − kt) ≤ max k∈Γ Ek Δvk E(0) a3 E(Δχ(t) 1ρ(t)>1) ≤ (N + 1)P (Δv(kt) > θN) . P ( Δv(kt) > θ̄N ) ≤ E Δv(kt) θ̄N E(Δχ(t) 1ρ(t)>1) ≤ 2 maxk Ek v(0) θ̄ χ(s) ≤ min k∈Γ vk E(t0), t0 ≥ s ξj Fk Ek vk E(t0) ≤ Ek ṽk E(t0) ≤ Ek vk 1(0) Pk(E(0, vk 1)) . Pk(E(0, vk 1)) ≥ 1 − 48σ2(K − 1)2 πN πN + C πNκ . Ek vk E(t0) ≤ Ek vk 1(0) C1 . Ek vk 1 ≤ 3(K − 1)(πN + C) κ . Ek vk E(t0) ≤ 3(K − 1)(πN + C) C1κ . E χ(s) ≤ 2(1 + θ̄−1) max k∈Γ Ek vk E ≤ 6(1 + θ̄−1)(K − 1)(πN + C) C1κ . E φki(ζj) = ∞ φ(ζj, j)−φ(ζj, i) E φji(ζj) > 0, i �= j, ζj Fj E φji(ζj) = +∞ E φji(ζj) 1φji(ζj)<0 > −∞, i, j ∈ Γ D φji(ζj) 1φji(ζj)<0 < σ2 < ∞, i, j ∈ Γ φki y (x) = { φki(x), y < x, y, y ≥ x. κ > 0, C ∈ R EΔχ(t) ≤ 6(πN + C)(K − 1)(1 + θ̄−1) C2κ , C2 = 1 − 48(σ2 + C2)(K − 1)2 πN πN + C πNκ . E χ(s) − s ≤ 2(1 + θ̄−1) Ek vk 1 (0) Pk(E(0, vk 1)) . Ek vk 1(0) = 3 Ek wk 1(0). Ek wk 1(0) ≤∑i�=k Ek wki 1 (0).∑t j=1 φki y (ξj) ≤ ∑t j=1 φki(ξj), wki 1 (0, φ) ≤ wki 1 (0, φy). E φki y (ζj) → E φki(ζj), y → ∞, ∃κ > 0 ∃C ∈ R : E φki C (ζj) > κ. Ek wki 1 (0, φC) ≤ πN + C κ . Ek vk 1(0, φC) = 3 Ek wk 1(0, φC) ≤ 3(K − 1)(πN + C) κ . Pk(E(0, vk 1)) Pk(E(0, vk 1)) ≥ Pk ( min i�=k min 0<l1≤l2≤vk 1 l2∑ j=l1 φki C (ξj) > −πN 2 ) D φki C (ζk) ≤ D φki(ζk)φki(ζk)<0 + E ( φki C (ζk)φki(ζk)≥0 )2 ≤ σ2 + C2 Pk(E(0, vk 1)) ≤ C2. E Δχ(s) ≤ 6(πN + C)(K − 1)(1 + θ̄−1) C2κ
id nasplib_isofts_kiev_ua-123456789-4494
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
issn 0321-3900
language English
last_indexed 2025-11-24T21:03:13Z
publishDate 2007
publisher Інститут математики НАН України
record_format dspace
spelling Shurenkov, G.
2009-11-19T10:25:42Z
2009-11-19T10:25:42Z
2007
The length of the interval of indeterminacy for the estimate of multiple change-points / G. Shurenkov // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 1-2. — С. 251-266. — Бібліогр.: 8 назв.— англ.
0321-3900
https://nasplib.isofts.kiev.ua/handle/123456789/4494
This article considers the problem of estimating the length of the interval of indeterminacy during construction of change-points' estimates using dynamical programming. It was proved that mathematical expectation of the length of the interval has asymptotically linear dependency on the penalty for a change of distribution when the number of estimations tends to infinity.
en
Інститут математики НАН України
The length of the interval of indeterminacy for the estimate of multiple change-points
Article
published earlier
spellingShingle The length of the interval of indeterminacy for the estimate of multiple change-points
Shurenkov, G.
title The length of the interval of indeterminacy for the estimate of multiple change-points
title_full The length of the interval of indeterminacy for the estimate of multiple change-points
title_fullStr The length of the interval of indeterminacy for the estimate of multiple change-points
title_full_unstemmed The length of the interval of indeterminacy for the estimate of multiple change-points
title_short The length of the interval of indeterminacy for the estimate of multiple change-points
title_sort length of the interval of indeterminacy for the estimate of multiple change-points
url https://nasplib.isofts.kiev.ua/handle/123456789/4494
work_keys_str_mv AT shurenkovg thelengthoftheintervalofindeterminacyfortheestimateofmultiplechangepoints
AT shurenkovg lengthoftheintervalofindeterminacyfortheestimateofmultiplechangepoints