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Statistics and the Evaluation of Evidence for Forensic Scientists
The first edition of Statistics and the Evaluation of Evidence for Forensic Scientists established itself as a highly regarded authority on this area. Fully revised and updated, the second edition provides significant new material on areas of current interest including: Glass Interpretation Fibres Interpretation Bayes’ Nets The title presents comprehensive coverage of the statistical evaluation of forensic evidence. It is written with the assumption of a modest mathematical background and is illustrated throughout with up-to-date examples from a forensic science background. The clarity of exposition makes this book ideal for all forensic scientists, lawyers and other professionals in related fields interested in the quantitative assessment and evaluation of evidence. 'There can be no doubt that the appreciation of some evidence in a court of law has been greatly enhanced by the sound use of statistical ideas and one can be confident that the next decade will see further developments, during which time this book will admirably serve those who have cause to use statistics in forensic science.' D.V. Lindley
Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
Bayesian Networks “This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.” Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science Second Edition Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates diffculties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theor...
The Dialogue Between Forensic Scientists, Statisticians and Lawyers about Complex Scientific Issues for Court
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Wrongful Convictions and Miscarriages of Justice
This innovative work builds on Huff and Killias’ earlier publication (2008), but is broader and more thoroughly comparative in a number of important ways: (1) while focusing heavily on wrongful convictions, it places the subject of wrongful convictions in the broader contextual framework of miscarriages of justice and provides discussions of different types of miscarriages of justice that have not previously received much scholarly attention by criminologists; (2) it addresses, in much greater detail, the questions of how, and how often, wrongful convictions occur; (3) it provides more in-depth consideration of the role of forensic science in helping produce wrongful convictions and in hel...
Data Analysis in Forensic Science
This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. The book is split into two parts: Part One concentrates on the philosophies of statistical inference. Chapter One examines the differences between the frequentist, the likelihood and the Bayesian perspectives, before Chapter Two explores the Bayesian decision-theoretic perspective further, and looks at the benefits it carries. Part Two then introduces the reader to the practical aspects involved: the application, interpretation, summary and presentation of data analyses are all examined from a Bayesian decision-theoretic perspective. A wide range of statistical methods...
The Molecular and Genetic Basis of Neurologic and Psychiatric Disease
Completely updated for its Fourth Edition, this book is the most comprehensive, current review of the molecular and genetic basis of neurologic and psychiatric diseases. More than 120 leading experts provide a fresh, new assessment of recent molecular, genetic, and genomic advances, offer new insights into disease pathogenesis, describe the newest available therapies, and explore promising areas of therapeutic development. This edition features an updated section on psychiatric disease and expanded, updated chapters on human genomics, gene therapy, and ethical issues. Six new chapters cover congenital myasthenic syndromes, hereditary spastic paraplegia, ion channel disorders, the phakomatoses, beta-galactosidase deficiency, and prion diseases. A Neurologic Gene Map describes the chromosome locus of all the genetic diseases and their gene product where known. The fully searchable online text will be available on a companion Website. (www.rosenbergneuroandpsychdisease.com)
Forensic DNA Evidence Interpretation
Now in its second edition, Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, including a contribution from Peter Gill, the father of DNA analysis, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. This latest edition is fully updated and includes current and emerging techniques in this fast-moving field. The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis. This includes modern interpretation methods and contemporary population genetic models ava...
Forensic Science Evidence and Expert Witness Testimony
Forensic science evidence plays a pivotal role in modern criminal proceedings. Yet such evidence poses intense practical and theoretical challenges. It can be unreliable or misleading and has been associated with miscarriages of justice. In this original and insightful book, a global team of prominent scholars and practitioners explore the contemporary challenges of forensic science evidence and expert witness testimony from a variety of theoretical, practical and jurisdictional perspectives. Chapters encompass the institutional organisation of forensic science, its procedural regulation, evaluation and reform, and brim with comparative insight.
Genetics of Epilepsy and Genetic Epilepsies
This volume provides updated information on epilepsy genes, on the clinical picture of genetic epilepsies discovered so far, and on conceptual advances in the complicated area of genotype-phenotype correlations. Recent studies on monogenic epilepsies present new insights into mechanisms whereby a mutation of a single gene, coding for an ion channel, can result in a complex epileptic phenotype. The analysis of genetically-determined epileptogenic dysplasia is advancing our understanding of the role of genes in controlling normal and pathological brain development. The pathogenic mechanisms by which gene mutations determine progressive myoclonus epilepsies offer critical opportunities to understand the role of genetic factors in neurodegenerative phenome-na associated with an even broader range of progressive epilepsy types. The specialists who have contributed to this book are outstanding international experts in their respective fields, ensuring first and foremost that the reviews are of relevance to clinicians dealing with epilepsy in their daily practice, as well as providing the highest quality scientific information for biomedical research.
Bayesian Networks
Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing, natural sciences and engineering. Designed to help analysts, engineers, scientists and professionals taking part in complex decision processes to successfully implement Bayesian networks, this book equi...
