The Oxford handbook of nonlinear filtering:
Gespeichert in:
Weitere Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Oxford [u.a.]
Oxford Univ. Press
2011
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Ausgabe: | 1. publ. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XIV, 1063 S. Ill., graph. Darst |
ISBN: | 9780199532902 |
Internformat
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245 | 1 | 0 | |a The Oxford handbook of nonlinear filtering |c ed. by Dan Crisan ... |
250 | |a 1. publ. | ||
264 | 1 | |a Oxford [u.a.] |b Oxford Univ. Press |c 2011 | |
300 | |a XIV, 1063 S. |b Ill., graph. Darst | ||
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650 | 4 | |a Stochastic differential equations | |
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Datensatz im Suchindex
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adam_text | Titel: The Oxford handbook of nonlinear filtering
Autor: Crisan, Dan
Jahr: 2011
Contents
List of Contributors........................................................................................ xi
1 Introduction..................................................................................................... 1
D. Crisan and B. Rozovskii
Part I The Foundations of Nonlinear Filtering
2 Nonlinear Filtering Problems I: Bayes Formulas and Innovations....... 19
H. Kunita
3 Nonlinear Filtering Problems II: Associated Equations.......................... 55
H. Kunita
4 Nonlinear Filtering Equations for Stochastic Processes with Jumps.... 95
B. Grigelionis and R. Mikulevicius
5 The Filtered Martingale Problem.............................................................. 129
T. G. Kurtz and G. Nappo
Part II Nonlinear Filtering and Stochastic Partial Differential Equations
6 Filtering Equations for Partially Observable Diffusion Processes
with Lipschitz Continuous Coefficients................................................... 169
N. V. Krylov
7 Malliavin Calculus Applications to the Study of Nonlinear Filtering.. 195
M. Chaleyat-Maurel
8 Chaos Approach to Nonlinear Filtering................................................... 231
S. V. Lototsky
Part III Stability and Asymptotic Analysis
9 On Filtering with Unspecified Initial Data for Nonuniformly
Ergodic Signals............................................................................................ 267
M. L. Kteptsyna and A. Yu. Veretennikov
10 Exponential Decay Rate of the Filter s Dependence on the Initial
Distribution.................................................................................................. 299
R. Atar
11 Intrinsic Methods in Filter Stability......................................................... 319
P. Chigansky, R. Liptser, and R. Van Handel
12 Feller and Stability Properties of the Nonlinear Filter........................... 352
A. Budhiraja
13 Stability of the Optimal Filter for Nonergodic Signals-A Variational
Approach...................................................................................................... 374
W. Stannat
Part IV Special Topics
14 Pathwise Nonlinear Filtering with Correlated Noise............................. 403
M. H. A. Davis
15 The Innovations Problem.......................................................................... 425
A. J. Heunis
16 Nonlinear Filtering and Fractional Brownian Motion........................... 450
T. E. Duncan
Part V Estimation and Control
17 Dual Filters, Path Estimators, and Information..................................... 471
N. J. Newton
18 Filtering for Discrete-Time Markov Processes and Applications
to Inventory Control with Incomplete Information............................... 500
A. Bensoussan, M. Cakanyildinm, and S. P. Sethi
19 Bayesian Filtering of Stochastic Hybrid Systems in Discrete-Time
and Interacting Multiple Model................................................................ 526
H. A. P. Blom and Y. Bar-Shalom
Part VI Approximation Theory
20 Error Bounds for the Nonlinear Filtering of Diffusion Processes....... 561
O. Zeitouni
21 Discretizing the Continuous-Time Filtering Problem: Order
of Convergence............................................................................................ 572
D. Crisan
22 Large Sample Asymptotics for the Ensemble Kalman Filter................ 598
F. Le Gland, V. Monbet, and V.-D. Tran
Part VII The Particle Approach
23 Particle Approximations to the Filtering Problem in Continuous
Time.............................................................................................................. 635
J. Xiong
24 A Tutorial on Particle Filtering and Smoothing: Fifteen
Years Later.................................................................................................... 656
A. Doucet and A. M. Johansen
25 A Mean Field Theory of Nonlinear Filtering.......................................... 705
P. Del Moral, F. Patras, and S. Ruhenthaler
26 The Particle Filter in Practice.................................................................... 741
T. B. Schon, F. Gustafsson, and R. Karlsson
27 Introducing Cubature to Filtering............................................................ 768
C. Litterer and T. Lyons
Part VIII Numerical Methods in Nonlinear Filtering
28 Numerical Approximations to Optimal Nonlinear Filters.................... 799
H. J. Kushner
29 Signal Processing Problems on Function Space: Bayesian
Formulation, Stochastic PDEs and Effective MCMC Methods............ 833
M. Hairer, A. Stuart, and J. Voss
30 Robust, Computationally Efficient Algorithms for Tracking
Problems with Measurement Process Nonlinearities............................ 874
J. M. C. Clark and R. B. Vinter
31 Nonlinear Filtering Algorithms Based on Averaging Over
Characteristics and on the Innovation Approach................................... 892
G. N. Milstein and M. V. Tretyakov
Part IX Nonlinear Filtering in Financial Mathematics
32 Nonlinear Filtering in Models for Interest-Rate and Credit Risk......... 923
R. Frey and W. Runggaldier
33 An Asset Pricing Model with Mean Reversion and Regime
Switching Stochastic Volatility.................................................................. 960
R. J. Elliott, H. Miao, and Z. Wu
34 Portfolio Optimization Under Partial Observation: Theoretical
and Numerical Aspects.............................................................................. 990
H. Pham
35 Filtering with Counting Process Observations: Application
to the Statistical Analysis of the Micromovement of Asset Price....... 1019
I. C. Scott and Y. Zeng
Index........................................................................................................... 1047
|
any_adam_object | 1 |
author2 | Crisan, Dan |
author2_role | edt |
author2_variant | d c dc |
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author_facet | Crisan, Dan |
building | Verbundindex |
bvnumber | BV037318081 |
callnumber-first | Q - Science |
callnumber-label | QA274 |
callnumber-raw | QA274.23 |
callnumber-search | QA274.23 |
callnumber-sort | QA 3274.23 |
callnumber-subject | QA - Mathematics |
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ctrlnum | (OCoLC)723484349 (DE-599)BVBBV037318081 |
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dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.2 |
dewey-search | 519.2 |
dewey-sort | 3519.2 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik Elektrotechnik / Elektronik / Nachrichtentechnik |
edition | 1. publ. |
format | Book |
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indexdate | 2024-07-09T23:21:57Z |
institution | BVB |
isbn | 9780199532902 |
language | English |
lccn | 2010044094 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-022472335 |
oclc_num | 723484349 |
open_access_boolean | |
owner | DE-20 DE-19 DE-BY-UBM DE-11 DE-83 DE-634 DE-M382 DE-824 DE-91G DE-BY-TUM DE-29T |
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physical | XIV, 1063 S. Ill., graph. Darst |
publishDate | 2011 |
publishDateSearch | 2011 |
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publisher | Oxford Univ. Press |
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spelling | The Oxford handbook of nonlinear filtering ed. by Dan Crisan ... 1. publ. Oxford [u.a.] Oxford Univ. Press 2011 XIV, 1063 S. Ill., graph. Darst txt rdacontent n rdamedia nc rdacarrier Stochastic differential equations Nonlinear theories Filters (Mathematics) Filterung Stochastik (DE-588)4121267-8 gnd rswk-swf Stochastische Differentialgleichung (DE-588)4057621-8 gnd rswk-swf Stochastische Differentialgleichung (DE-588)4057621-8 s Filterung Stochastik (DE-588)4121267-8 s DE-604 Crisan, Dan (DE-588)138298084 edt HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022472335&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | The Oxford handbook of nonlinear filtering Stochastic differential equations Nonlinear theories Filters (Mathematics) Filterung Stochastik (DE-588)4121267-8 gnd Stochastische Differentialgleichung (DE-588)4057621-8 gnd |
subject_GND | (DE-588)4121267-8 (DE-588)4057621-8 |
title | The Oxford handbook of nonlinear filtering |
title_auth | The Oxford handbook of nonlinear filtering |
title_exact_search | The Oxford handbook of nonlinear filtering |
title_full | The Oxford handbook of nonlinear filtering ed. by Dan Crisan ... |
title_fullStr | The Oxford handbook of nonlinear filtering ed. by Dan Crisan ... |
title_full_unstemmed | The Oxford handbook of nonlinear filtering ed. by Dan Crisan ... |
title_short | The Oxford handbook of nonlinear filtering |
title_sort | the oxford handbook of nonlinear filtering |
topic | Stochastic differential equations Nonlinear theories Filters (Mathematics) Filterung Stochastik (DE-588)4121267-8 gnd Stochastische Differentialgleichung (DE-588)4057621-8 gnd |
topic_facet | Stochastic differential equations Nonlinear theories Filters (Mathematics) Filterung Stochastik Stochastische Differentialgleichung |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022472335&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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