Current Trends in Bayesian Methodology with Applications
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7

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Published By Chapman And Hall/CRC

9781482235111, 9781482235128

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Comparing Proportions: A Modern Solution to a Classical Problem

Current Trends in Bayesian Methodology with Applications ◽

10.1201/b18502-4 ◽

2015 ◽

pp. 59-78

Author(s):

José Bernardo

Keyword(s):

Classical Problem ◽

Modern Solution

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Bayesian Inference on the Brain: Bayesian Solutions to Selected Problems in Neuroimaging

Current Trends in Bayesian Methodology with Applications ◽

10.1201/b18502-2 ◽

2015 ◽

pp. 1-36

Author(s):

John Aston ◽

Adam Johansen

Keyword(s):

Bayesian Inference ◽

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On Bayesian Spatio-Temporal Modeling of Oceanographic Climate Characteristics

Current Trends in Bayesian Methodology with Applications ◽

10.1201/b18502-6 ◽

2015 ◽

pp. 103-121

Author(s):

Madhuchhanda Bhattacharjee ◽

Snigdhansu Chatterjee

Keyword(s):

Temporal Modeling ◽

Spatio Temporal

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Front Matter

Current Trends in Bayesian Methodology with Applications ◽

10.1201/b18502-1 ◽

2015 ◽

pp. i-xxxix

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Sequential Bayesian Inference for Dynamic State Space Model Parameters

Current Trends in Bayesian Methodology with Applications ◽

10.1201/b18502-7 ◽

2015 ◽

pp. 123-133

Author(s):

Arnab Bhattacharya ◽

Simon Wilson

Keyword(s):

Bayesian Inference ◽

State Space ◽

State Space Model ◽

Dynamic State ◽

Model Parameters ◽

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Forecasting Indian Macroeconomic Variables Using Medium-Scale VAR Models

Current Trends in Bayesian Methodology with Applications ◽

10.1201/b18502-3 ◽

2015 ◽

pp. 37-57 ◽

Author(s):

Goodness Aye ◽

Pami Dua ◽

Rangan Gupta

Keyword(s):

Macroeconomic Variables ◽

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Hamiltonian Monte Carlo for Hierarchical Models

Current Trends in Bayesian Methodology with Applications ◽

10.1201/b18502-5 ◽

2015 ◽

pp. 79-101 ◽

Author(s):

Michael Betancourt ◽

Mark Girolami

Keyword(s):

Monte Carlo ◽

Hierarchical Models ◽

Hamiltonian Monte Carlo

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