Bayesian smoothing and regression for longitudinal, spatial and event history data /
Adopting a unifying, Bayesian perspective, several recent advances in smoothing and semiparametric regression are presented in this book Simulation based full Bayesian Markov chain Monte Carlo(MCMC) inference and empirical Bayes procedures closely related to penalized likelihood estimation and mixed...
Saved in:
| Main Author: | |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Format: | Book |
| Language: | English |
| Published: |
Oxford ; New York :
Oxford University Press,
2011
Oxford ; New York : 2011 |
| Series: | Oxford statistical science series ;
36 Oxford statistical science series 36 |
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
Stanford University
| Call Number: |
ISIL:US-CST QA278.2 .F34 2011 |
|---|
University of Chicago
| Call Number: |
QA278.2 .F34 2011 |
|---|
Massachusetts Institute of Technology
| Call Number: |
QA278.2.F34 2011 |
|---|
Johns Hopkins University
| Call Number: |
QA278.2.F34 2011 |
|---|
Cornell University
| Call Number: |
QA278.2 .F34 2011 |
|---|
Princeton University
| Call Number: |
QA278.2 .F34 2011 |
|---|
University of Pennsylvania
| Call Number: |
QA278.2 .F34 2011 |
|---|
Brown University
| Call Number: |
QA278.2 .F34 2011 |
|---|