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 PaleoethnobotanyStatistical Sampling in Tax AuditsA Statistical Analysis of Adverse Impact of Employer DecisionsSubjective Bayesian Analysis for Surveys with Missing DataMissing Data in the Forensic ContextBayesian Demography: Projecting the Iraqi Kurdish PopulationAn Allegation of Examination CopyingVote Tampering in a District Justice Election in Beaver County, PAThe Effect of Intensity of Effort to Reach Survey Respondents: AToronto Smoking SurveyComparing Harm Done by Mobility and Class Absence: Missing Studentsand Missing DataHierarchical Models for Employment DecisionsAge- and Time-Varying Proportional Hazards Models for EmploymentDiscriminationError Analysis for Small Angle Neutron Scattering Datasets UsingBayesian InferenceImpacts of Beliefs about Tropical Cyclone Detection on Conclusionsabout Trends in Tropical Cyclone NumberThe Number of Killings in Southern Rural Norway