Computational advances for and from Bayesian analysis

C Andrieu; A Doucet; CP Robert

Computational advances for and from Bayesian analysis

C Andrieu, A Doucet, CP Robert

Research output: Contribution to journal › Article (Academic Journal) › peer-review

34 Citations (Scopus)

Abstract

The emergence in the past years of Bayesian analysis in many methodological and applied fields as the solution to the modeling of complex problems cannot be dissociated from major changes in its computational implementation. We show in this review how the advances in Bayesian analysis and statistical computation are intermingled.

Translated title of the contribution	Computational advances for and from Bayesian analysis
Original language	English
Pages (from-to)	118 - 127
Number of pages	10
Journal	Statistical Science
Volume	19 (1)
Publication status	Published - Feb 2004

Bibliographical note

Publisher: Inst Mathematical Statistics
Other identifier: IDS Number: 842OE

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@article{e3cdb7f6aa7b47d693c14a6925c7c738,

title = "Computational advances for and from Bayesian analysis",

abstract = "The emergence in the past years of Bayesian analysis in many methodological and applied fields as the solution to the modeling of complex problems cannot be dissociated from major changes in its computational implementation. We show in this review how the advances in Bayesian analysis and statistical computation are intermingled.",

author = "C Andrieu and A Doucet and CP Robert",

note = "Publisher: Inst Mathematical Statistics Other identifier: IDS Number: 842OE ",

year = "2004",

month = feb,

language = "English",

volume = "19 (1)",

pages = "118 -- 127",

journal = "Statistical Science",

publisher = "Institute of Mathematical Statistics",

}

TY - JOUR

T1 - Computational advances for and from Bayesian analysis

AU - Andrieu, C

AU - Doucet, A

AU - Robert, CP

N1 - Publisher: Inst Mathematical Statistics Other identifier: IDS Number: 842OE

PY - 2004/2

Y1 - 2004/2

N2 - The emergence in the past years of Bayesian analysis in many methodological and applied fields as the solution to the modeling of complex problems cannot be dissociated from major changes in its computational implementation. We show in this review how the advances in Bayesian analysis and statistical computation are intermingled.

AB - The emergence in the past years of Bayesian analysis in many methodological and applied fields as the solution to the modeling of complex problems cannot be dissociated from major changes in its computational implementation. We show in this review how the advances in Bayesian analysis and statistical computation are intermingled.

M3 - Article (Academic Journal)

VL - 19 (1)

SP - 118

EP - 127

JO - Statistical Science

JF - Statistical Science

ER -

Computational advances for and from Bayesian analysis

Abstract

Bibliographical note

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