Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Astrostatistics
- 2 Prerequisites
- 3 Frequentist vs. Bayesian Methods
- 4 Normal Linear Models
- 5 GLMs Part I – Continuous and Binomial Models
- 6 GLMs Part II – Count Models
- 7 GLMs Part III – Zero-Inflated and Hurdle Models
- 8 Hierarchical GLMMs
- 9 Model Selection
- 10 Astronomical Applications
- 11 The Future of Astrostatistics
- Appendix A Bayesian Modeling using INLA
- Appendix B Count Models with Offsets
- Appendix C Predicted Values, Residuals, and Diagnostics
- References
- Index
- Plate section
- References
9 - Model Selection
Published online by Cambridge University Press: 11 May 2017
Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Astrostatistics
- 2 Prerequisites
- 3 Frequentist vs. Bayesian Methods
- 4 Normal Linear Models
- 5 GLMs Part I – Continuous and Binomial Models
- 6 GLMs Part II – Count Models
- 7 GLMs Part III – Zero-Inflated and Hurdle Models
- 8 Hierarchical GLMMs
- 9 Model Selection
- 10 Astronomical Applications
- 11 The Future of Astrostatistics
- Appendix A Bayesian Modeling using INLA
- Appendix B Count Models with Offsets
- Appendix C Predicted Values, Residuals, and Diagnostics
- References
- Index
- Plate section
- References
- Type
- Chapter
- Information
- Bayesian Models for Astrophysical DataUsing R, JAGS, Python, and Stan, pp. 262 - 275Publisher: Cambridge University PressPrint publication year: 2017
References
, , , , , and (2013). Bayesian Data Analysis, Third Edition. Chapman & Hall/CRC Texts in Statistical Science. Taylor & Francis.
, , and (2014). “Understanding predictive information criteria for Bayesian models.” Statist. Comput. 24(6), 997–1016. DOI:10.1007/s11222-013-9416-2.
and (2009). “A review of Bayesian variable selection methods: what, how and which.” Bayesian Anal. 4(1), 85–117. DOI: 10.1214/09-ba403.
, , , and der Linde (2002). “Bayesian measures of model complexity and fit.” J. Royal Statist. Soc.:Series B (Stastistical Methodology) 64(4), 583–639. DOI: 10.1111/1467-9868.00353.
and (2012). “A survey of Bayesian predictive methods for model assessment, selection and comparison.” Statist. Surv. 6, 142–228. DOI: 10.1214/12-SS102.