New York: Chapman and Hall/CRC, 2017. — 349 p.
A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.
Bayesian paleoethnobotany
Statistical sampling in tax audits
A statistical analysis of adverse impact of employer decisions
Subjective Bayesian analysis for surveys with missing data
Missing data in the forensic context
Bayesian demography : projecting the Iraqi Kurdish population, 1997-1990
An allegation of examination copying
Vote tampering in a district justice election in Beaver County, PA
The effect of intensity of effort to reach survey respondents : a Toronto smoking survey
Comparing harm done by mobility and class absence : missing students and missing data
Hierarchical models for employment decisions
Age- and time- varying proportional hazards models for employment discrimination
Error analysis for small angle neutron scattering datasets using Bayesian inference
Impacts of beliefs about tropical cyclone detection on conclusions about trends in tropical cyclone number
The number of killings in southern rural Norway, 1300-1569