Read more
This book discusses the role of statistics and probability in the evaluation of forensic evidence, in theory and in practice. Accessible to a wide audience of mathematicians and statisticians, forensic scientists, and legal scholars, it is a must-read for those interested in the mathematical and philosophical foundations of evidence and belief.
List of contents
1. Some Philosophy of Probability, Statistics, and Forensic Science; 2. Evidence and the Likelihood Ratio; 3. The Uncertainty of the Likelihood Ratio; 4. Forensic Identification; 5. The Bayesian Framework in Legal Cases; 6. Bayesian Networks; 7. DNA; 8. Statistical Modeling and DNA Mixture Evaluation; 9. p-Values of Likelihood Ratios; 10. From Evidence to Decision; 11. The Interpretation of DNA Database Matches; 12. Familial Searching; 13. Belief Functions and their Applications; 14. Recommendation Reports; References; Index.
About the author
Ronald Meester is Professor in probability theory at Vrije Universiteit Amsterdam. He is co-author of the books Continuum Percolation (1996), Random Networks for Communication (2008), and Wiskunde in je vingers (in Dutch, 2015) and has written around 120 research papers on topics including percolation theory, ergodic theory, philosophy of science, and forensic probability.Klaas Slooten works as Statistician at the Netherlands Forensic Institute and at Vrije Universiteit Amsterdam where he is Professor by special appointment. He has published around 30 articles on forensic probability and statistics. He is interested in the mathematical, legal, and philosophical approaches to the evaluation of evidence.
Summary
This book discusses the role of statistics and probability in the evaluation of forensic evidence, in theory and in practice. Accessible to a wide audience of mathematicians and statisticians, forensic scientists, and legal scholars, it is a must-read for those interested in the mathematical and philosophical foundations of evidence and belief.
