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Bayesian Non- and Semi-parametric Methods and Applications

This chapter is in the book Bayesian Non- and Semi-parametric Methods and Applications

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Chapters in this book

Frontmatter i
Contents v
Preface vii
1. Mixtures of Normals 1
2. Dirichlet Process Prior and Density Estimation 59
3. Non-parametric Regression 90
4. Semi-parametric Approaches 115
5. Random Coefficient Models 152
6. Conclusions and Directions for Future Research 187
Bibliography 195
Index 201

https://doi.org/10.1515/9781400850303-009

Chapters in this book

Frontmatter i
Contents v
Preface vii
1. Mixtures of Normals 1
2. Dirichlet Process Prior and Density Estimation 59
3. Non-parametric Regression 90
4. Semi-parametric Approaches 115
5. Random Coefficient Models 152
6. Conclusions and Directions for Future Research 187
Bibliography 195
Index 201

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