... 261 , 279 Katz , R. W. , 26 Kendall , D. G. , 22 , 121 Kent , J. , 86 Kerr , D. R. , 229 Kim , S. H. , 17 Kimeldorf ... 34 , 68 McCulloch , R. E. , 83 McLachlan , G. J. , 3 , 295 McSweeney , K. , 3 Meginniss , J. R. , 176 Metropolis ...
An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social ScientistsNow that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian ...
The first edition of Bayesian Methods: A Social and Behavioral Sciences Approach helped pave the way for Bayesian approaches to become more prominent in social science methodology.
This is followed by explicit guidance on assessing model quality and model fit using various diagnostic techniques and empirical summaries.
Given the existence of subjectivity in all scientific data analysis endeavors,‡ one should prefer the inferential paradigm that gives the most overt presentation of model assumptions. This is clearly the Bayesian subjective approach ...