Law, Probability and Risk
Journal
The journal publishes papers that deal with topics on the interface of law and probabilistic reasoning. These are interpreted broadly to include aspects relevant to the interpretation of scientific evidence, the assessment of uncertainty and the assessment of risk. The readership is primarily academic lawyers, mathematicians, statisticians and social scientists with interests in quantitative reasoning.
Non-evidence law topics include environmental issues, mass torts, causation, risk assessment, medical and pharmaceutical litigation involving the evaluation of epidemiological and bio-statistical evidence according to legal criteria.
The primary objective of the journal is to cover issues in law, which have a scientific element, with an emphasis on statistical and probabilistic issues and the assessment of risk.
Online ISSN: 1470-840X
Print ISSN: 1470-8396
SOURCE CURRENCY1 MARCH 2024, Volume 23, Issue 1 Citation: Law Probability and Risk (2024) 23 (1): 1 UPDATE INFORMATION Editorial Introduction Articles Misuse of statistical method results in highly biased interpretation of forensic evidence in Guyll et al. (2023) How the work being done on statistical fingerprint models provides the basis for a much broader and greater impact affecting many areas within the criminal justice system Bayesian reasoning and the prior in court: not legally normative but unavoidable Perpetrator knowledge: a Bayesian account A probabilistic graphical model for assessing equivocal evidence Bi-Gaussianized calibration of likelihood ratios Presumed prior, contextual prior, and bizarre consequences-a reply to Ronald Meester and Lonneke Stevens Decisionalizing the problem of reliance on expert and machine evidence Chain event graphs for assessing activity-level propositions in forensic science in relation to drug traces on banknotes Police evaluation of evidence: statistical format and evidence type The principle of total evidence reprised More unjustified inferences from limited data in Guyll et al. (2023) Methodological problems in every black-box study of forensic firearm comparisons Estimating the perceived threat threshold for acting in self-defense.
Non-evidence law topics include environmental issues, mass torts, causation, risk assessment, medical and pharmaceutical litigation involving the evaluation of epidemiological and bio-statistical evidence according to legal criteria.
The primary objective of the journal is to cover issues in law, which have a scientific element, with an emphasis on statistical and probabilistic issues and the assessment of risk.
Online ISSN: 1470-840X
Print ISSN: 1470-8396
SOURCE CURRENCY1 MARCH 2024, Volume 23, Issue 1 Citation: Law Probability and Risk (2024) 23 (1): 1 UPDATE INFORMATION Editorial Introduction Articles Misuse of statistical method results in highly biased interpretation of forensic evidence in Guyll et al. (2023) How the work being done on statistical fingerprint models provides the basis for a much broader and greater impact affecting many areas within the criminal justice system Bayesian reasoning and the prior in court: not legally normative but unavoidable Perpetrator knowledge: a Bayesian account A probabilistic graphical model for assessing equivocal evidence Bi-Gaussianized calibration of likelihood ratios Presumed prior, contextual prior, and bizarre consequences-a reply to Ronald Meester and Lonneke Stevens Decisionalizing the problem of reliance on expert and machine evidence Chain event graphs for assessing activity-level propositions in forensic science in relation to drug traces on banknotes Police evaluation of evidence: statistical format and evidence type The principle of total evidence reprised More unjustified inferences from limited data in Guyll et al. (2023) Methodological problems in every black-box study of forensic firearm comparisons Estimating the perceived threat threshold for acting in self-defense.
Contributors
| Dr D. Lucy | Book reviews editor |
| Dr J. Franklin | Editor |
| Prof. C.G.G. Aitken | Editor-in-chief |
| Prof. F. Taroni | Editor |
| Prof. Jonathan Koehler | Editor |
| Prof. Joseph Gastwirth | Editor |
| Prof. Peter Tillers | Editor |
