Verfügbarkeit: Bayesian theory and applications /

Bayesian theory and applications /:

This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances in this field.

Gespeichert in:

Bibliographische Detailangaben
Weitere Verfasser:	Damien, Paul, 1960- (HerausgeberIn), Dellaportas, Petros (HerausgeberIn), Polson, Nicholas G., 1963- (HerausgeberIn), Stephens, David A. (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Oxford : Oxford University Press, 2013.
Schlagworte:	Bayesian statistical decision theory. Théorie de la décision bayésienne. MATHEMATICS > Probability & Statistics > Bayesian Analysis. Bayesian statistical decision theory
Online-Zugang:	Volltext
Zusammenfassung:	This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances in this field.
Beschreibung:	1 online resource (xi, 702 pages) : illustrations
Bibliographie:	Includes bibliographical references.
ISBN:	9780191647000 0191647004 9780199695607 0199695601

Internformat

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contents	""Cover""; ""Contents""; ""Contributors""; ""Introduction""; ""Part I: Exchangeability""; ""1 Observables and models: exchangeability and the inductive argument""; ""2 Exchangeability and its ramifications""; ""Part II: Hierarchical Models""; ""3 Hierarchical modelling""; ""4 Bayesian hierarchical kernel machines for nonlinear regression and classification""; ""5 Flexible Bayesian modelling for clustered categorical responses in developmental toxicology""; ""Part III: Markov Chain Monte Carlo""; ""6 Markov chain Monte Carlo methods""; ""7 Advances in Markov chain Monte Carlo"" ""Part IV: Dynamic Models""""8 Bayesian dynamic modelling""; ""9 Hierarchical modelling in time series: the factor analytic approach""; ""10 Dynamic and spatial modelling of block maxima extremes""; ""Part V: Sequential Monte Carlo""; ""11 Online Bayesian learning in dynamic models: an illustrative introduction to particle methods""; ""12 Semi-supervised classification of texts using particle learning for probabilistic automata""; ""Part VI: Nonparametrics""; ""13 Bayesian nonparametrics""; ""14 Geometric weight priors and their applications"" ""15 Revisiting Bayesian curve fitting using multivariate normal mixtures""""Part VII: Spline Models and Copulas""; ""16 Applications of Bayesian smoothing splines""; ""17 Bayesian approaches to copula modelling""; ""Part VIII: Model Elaboration and Prior Distributions""; ""18 Hypothesis testing and model uncertainty""; ""19 Proper and non-informative conjugate priors for exponential family models""; ""20 Bayesian model specification: heuristics and examples""; ""21 Case studies in Bayesian screening for time-varying model structure: the partition problem"" ""Part IX: Regressions and Model Averaging""""22 Bayesian regression structure discovery""; ""23 Gibbs sampling for ordinary, robust and logistic regression with Laplace priors""; ""24 Bayesian model averaging in the M-open framework""; ""Part X: Finance and Actuarial Science""; ""25 Asset allocation in finance: a Bayesian perspective""; ""26 Markov chain Monte Carlo methods in corporate finance""; ""27 Actuarial credibility theory and Bayesian statisticsâ€?the story of a special evolution""; ""Part XI: Medicine and Biostatistics""; ""28 Bayesian models in biostatistics and medicine"" ""29 Subgroup analysis""""30 Surviving fully Bayesian nonparametric regression models""; ""Part XII: Inverse Problems and Applications""; ""31 Inverse problems""; ""32 Approximate marginalization over modelling errors and uncertainties in inverse problems""; ""33 Bayesian reconstruction of particle beam phase space""; ""Adrian Smithâ€?s research supervision (PhD)""; ""Adrian Smithâ€?s publications""; ""Index""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""K""; ""L""; ""M""; ""N""; ""O""; ""P""; ""Q""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""Z""
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publisher	Oxford University Press,
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spelling	Bayesian theory and applications / edited by Paul Damien, Petros Dellaportas, Nicholas G. Polson, & David A. Stephens. Oxford : Oxford University Press, 2013. 1 online resource (xi, 702 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances in this field. Print version record. Includes bibliographical references. ""Cover""; ""Contents""; ""Contributors""; ""Introduction""; ""Part I: Exchangeability""; ""1 Observables and models: exchangeability and the inductive argument""; ""2 Exchangeability and its ramifications""; ""Part II: Hierarchical Models""; ""3 Hierarchical modelling""; ""4 Bayesian hierarchical kernel machines for nonlinear regression and classification""; ""5 Flexible Bayesian modelling for clustered categorical responses in developmental toxicology""; ""Part III: Markov Chain Monte Carlo""; ""6 Markov chain Monte Carlo methods""; ""7 Advances in Markov chain Monte Carlo"" ""Part IV: Dynamic Models""""8 Bayesian dynamic modelling""; ""9 Hierarchical modelling in time series: the factor analytic approach""; ""10 Dynamic and spatial modelling of block maxima extremes""; ""Part V: Sequential Monte Carlo""; ""11 Online Bayesian learning in dynamic models: an illustrative introduction to particle methods""; ""12 Semi-supervised classification of texts using particle learning for probabilistic automata""; ""Part VI: Nonparametrics""; ""13 Bayesian nonparametrics""; ""14 Geometric weight priors and their applications"" ""15 Revisiting Bayesian curve fitting using multivariate normal mixtures""""Part VII: Spline Models and Copulas""; ""16 Applications of Bayesian smoothing splines""; ""17 Bayesian approaches to copula modelling""; ""Part VIII: Model Elaboration and Prior Distributions""; ""18 Hypothesis testing and model uncertainty""; ""19 Proper and non-informative conjugate priors for exponential family models""; ""20 Bayesian model specification: heuristics and examples""; ""21 Case studies in Bayesian screening for time-varying model structure: the partition problem"" ""Part IX: Regressions and Model Averaging""""22 Bayesian regression structure discovery""; ""23 Gibbs sampling for ordinary, robust and logistic regression with Laplace priors""; ""24 Bayesian model averaging in the M-open framework""; ""Part X: Finance and Actuarial Science""; ""25 Asset allocation in finance: a Bayesian perspective""; ""26 Markov chain Monte Carlo methods in corporate finance""; ""27 Actuarial credibility theory and Bayesian statisticsâ€?the story of a special evolution""; ""Part XI: Medicine and Biostatistics""; ""28 Bayesian models in biostatistics and medicine"" ""29 Subgroup analysis""""30 Surviving fully Bayesian nonparametric regression models""; ""Part XII: Inverse Problems and Applications""; ""31 Inverse problems""; ""32 Approximate marginalization over modelling errors and uncertainties in inverse problems""; ""33 Bayesian reconstruction of particle beam phase space""; ""Adrian Smithâ€?s research supervision (PhD)""; ""Adrian Smithâ€?s publications""; ""Index""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""K""; ""L""; ""M""; ""N""; ""O""; ""P""; ""Q""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""Z"" Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Théorie de la décision bayésienne. MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Bayesian statistical decision theory fast Damien, Paul, 1960- editor. https://id.oclc.org/worldcat/entity/E39PBJkxJ7KR4Dgk7m4MrCTyh3 http://id.loc.gov/authorities/names/no2008086466 Dellaportas, Petros, editor. Polson, Nicholas G., 1963- editor. https://id.oclc.org/worldcat/entity/E39PBJkp8J3pDxd8pcyxqGqqQq http://id.loc.gov/authorities/names/n94101895 Stephens, David A., editor. Print version: Bayesian theory and applications. First edition. Oxford : Oxford University Press, 2013 9780199695607 (OCoLC)836808590 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=522001 Volltext
spellingShingle	Bayesian theory and applications / ""Cover""; ""Contents""; ""Contributors""; ""Introduction""; ""Part I: Exchangeability""; ""1 Observables and models: exchangeability and the inductive argument""; ""2 Exchangeability and its ramifications""; ""Part II: Hierarchical Models""; ""3 Hierarchical modelling""; ""4 Bayesian hierarchical kernel machines for nonlinear regression and classification""; ""5 Flexible Bayesian modelling for clustered categorical responses in developmental toxicology""; ""Part III: Markov Chain Monte Carlo""; ""6 Markov chain Monte Carlo methods""; ""7 Advances in Markov chain Monte Carlo"" ""Part IV: Dynamic Models""""8 Bayesian dynamic modelling""; ""9 Hierarchical modelling in time series: the factor analytic approach""; ""10 Dynamic and spatial modelling of block maxima extremes""; ""Part V: Sequential Monte Carlo""; ""11 Online Bayesian learning in dynamic models: an illustrative introduction to particle methods""; ""12 Semi-supervised classification of texts using particle learning for probabilistic automata""; ""Part VI: Nonparametrics""; ""13 Bayesian nonparametrics""; ""14 Geometric weight priors and their applications"" ""15 Revisiting Bayesian curve fitting using multivariate normal mixtures""""Part VII: Spline Models and Copulas""; ""16 Applications of Bayesian smoothing splines""; ""17 Bayesian approaches to copula modelling""; ""Part VIII: Model Elaboration and Prior Distributions""; ""18 Hypothesis testing and model uncertainty""; ""19 Proper and non-informative conjugate priors for exponential family models""; ""20 Bayesian model specification: heuristics and examples""; ""21 Case studies in Bayesian screening for time-varying model structure: the partition problem"" ""Part IX: Regressions and Model Averaging""""22 Bayesian regression structure discovery""; ""23 Gibbs sampling for ordinary, robust and logistic regression with Laplace priors""; ""24 Bayesian model averaging in the M-open framework""; ""Part X: Finance and Actuarial Science""; ""25 Asset allocation in finance: a Bayesian perspective""; ""26 Markov chain Monte Carlo methods in corporate finance""; ""27 Actuarial credibility theory and Bayesian statisticsâ€?the story of a special evolution""; ""Part XI: Medicine and Biostatistics""; ""28 Bayesian models in biostatistics and medicine"" ""29 Subgroup analysis""""30 Surviving fully Bayesian nonparametric regression models""; ""Part XII: Inverse Problems and Applications""; ""31 Inverse problems""; ""32 Approximate marginalization over modelling errors and uncertainties in inverse problems""; ""33 Bayesian reconstruction of particle beam phase space""; ""Adrian Smithâ€?s research supervision (PhD)""; ""Adrian Smithâ€?s publications""; ""Index""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""K""; ""L""; ""M""; ""N""; ""O""; ""P""; ""Q""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""Z"" Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Théorie de la décision bayésienne. MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Bayesian statistical decision theory fast
subject_GND	http://id.loc.gov/authorities/subjects/sh85012506
title	Bayesian theory and applications /
title_auth	Bayesian theory and applications /
title_exact_search	Bayesian theory and applications /
title_full	Bayesian theory and applications / edited by Paul Damien, Petros Dellaportas, Nicholas G. Polson, & David A. Stephens.
title_fullStr	Bayesian theory and applications / edited by Paul Damien, Petros Dellaportas, Nicholas G. Polson, & David A. Stephens.
title_full_unstemmed	Bayesian theory and applications / edited by Paul Damien, Petros Dellaportas, Nicholas G. Polson, & David A. Stephens.
title_short	Bayesian theory and applications /
title_sort	bayesian theory and applications
topic	Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Théorie de la décision bayésienne. MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Bayesian statistical decision theory fast
topic_facet	Bayesian statistical decision theory. Théorie de la décision bayésienne. MATHEMATICS Probability & Statistics Bayesian Analysis. Bayesian statistical decision theory
url	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=522001
work_keys_str_mv	AT damienpaul bayesiantheoryandapplications AT dellaportaspetros bayesiantheoryandapplications AT polsonnicholasg bayesiantheoryandapplications AT stephensdavida bayesiantheoryandapplications

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