Bayesian Non- and Semi-parametric Methods and Applications
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Published By Princeton University Press

9781400850303

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Index

Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-009 ◽

2014 ◽

pp. 201-202

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5. Random Coefficient Models

Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-006 ◽

2014 ◽

pp. 152-186

Keyword(s):

Random Coefficient ◽

Random Coefficient Models

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Bibliography

Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-008 ◽

2014 ◽

pp. 195-200

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3. Non-parametric Regression

Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-004 ◽

2014 ◽

pp. 90-114 ◽

Cited By ~ 1

Keyword(s):

Parametric Regression ◽

Non Parametric

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2. Dirichlet Process Prior and Density Estimation

Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-003 ◽

2014 ◽

pp. 59-89

Keyword(s):

Density Estimation ◽

Dirichlet Process ◽

Dirichlet Process Prior

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Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-toc ◽

2014 ◽

pp. v-vi

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Frontmatter

Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-fm ◽

2014 ◽

pp. i-iv

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6. Conclusions and Directions for Future Research

Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-007 ◽

2014 ◽

pp. 187-194

Keyword(s):

Future Research

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Preface

Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-001 ◽

2014 ◽

pp. vii-xvi

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1. Mixtures of Normals

Bayesian Non- and Semi-parametric Methods and Applications ◽

10.1515/9781400850303-002 ◽

2014 ◽

pp. 1-58

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Bayesian Non- and Semi-parametric Methods and Applications
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Princeton University Press

Index

5. Random Coefficient Models

Bibliography

3. Non-parametric Regression

2. Dirichlet Process Prior and Density Estimation

Contents

Frontmatter

6. Conclusions and Directions for Future Research

Preface

1. Mixtures of Normals

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Bayesian Non- and Semi-parametric Methods and ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Princeton University Press

Index

5. Random Coefficient Models

Bibliography

3. Non-parametric Regression

2. Dirichlet Process Prior and Density Estimation

Contents

Frontmatter

6. Conclusions and Directions for Future Research

Preface

1. Mixtures of Normals

Bayesian Non- and Semi-parametric Methods and Applications
Latest Publications