A Bayesian hierarchical model for evaluating forensic footwear evidence

DOI10.1214/20-AOAS1334zbMath1470.62165arXiv1906.05244OpenAlexW3088450189MaRDI QIDQ2044268

Neil A. Spencer, Jared S. Murray

Publication date: 4 August 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1906.05244

zbMATH Keywords

spatial statisticspoint processeshierarchical Bayesrandom measuresforensic statisticsforensic footwear analysisrandom match probability

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Uses Software

• Forensically

Cites Work

• Slice sampling. (With discussions and rejoinder)
• Modelling and computation using NCoRM mixtures for density regression
• Completely random measures
• Handbook of Markov Chain Monte Carlo
• Frontiers of Statistical Decision Making and Bayesian Analysis
• Bayesian Density Estimation and Inference Using Mixtures
• Compound Random Measures and their Use in Bayesian Non-Parametrics
• An Introduction to the Theory of Point Processes