Collection
High-Impact Research from Law, Probability & Risk
Explore a collection of the most read and most cited articles making an impact in Law, Probability & Risk published within the past two years. This collection will be continuously updated with the journal's leading articles so be sure to revisit periodically to see what is being read and cited.
Also discover the articles being discussed the most on digital media by exploring this Altmetric report pulling the most discussed articles from the past year.
Most cited
This article studies expected performance and practical feasibility of the most commonly used classes of source-level likelihood-ratio (LR) systems when applied to a trace–reference comparison problem. The article compares performance of these classes of LR systems (used to update prior odds) to each other and to the use ...
This section addresses claims made by Guyll et al. (2023 , p. 3) about the positive predictive value (PPV), defined as ‘the proportion of identification decisions that are correct’. They use the PPV to quantify the ‘probative value’ of a firearms examiner’s decision. Negative predictive value (NPV) is defined ...
Studying the repeatability and reproducibility of decisions made during forensic examinations is important in order to better understand variation in decisions and establish confidence in procedures. For disciplines that rely on comparisons made by trained examiners such as for latent prints, handwriting, and cartridge ...
For a perfectly calibrated forensic evaluation system, the likelihood ratio of the likelihood ratio is the likelihood ratio. Conversion of uncalibrated log-likelihood ratios (scores) to calibrated log-likelihood ratios is often performed using logistic regression. The results, however, may be far from perfectly calibrated. ...
Most read
Research Article
This article presents an actuarial perspective to estimate the economic loss for compensations resulting from a wrongful act. The main aim of this study is to propose a stochastic approach for modelling discount rates and survival probabilities which are used to calculate the present value of the future loss of earnings. ...
This article presents an actuarial perspective to estimate the economic loss for compensations resulting from a wrongful act. The main aim of this study is to propose a stochastic approach for modelling discount rates and survival probabilities which are used to calculate the present value of the future loss of earnings. ...
Research Article
Graphical models can be used to compare support given by evidence to propositions put forward by competing parties during court proceedings. Such models can also be used to evaluate support for activity-level propositions, that is, propositions referring to the nature of activities associated with evidence and how this ...
Graphical models can be used to compare support given by evidence to propositions put forward by competing parties during court proceedings. Such models can also be used to evaluate support for activity-level propositions, that is, propositions referring to the nature of activities associated with evidence and how this ...
Research Article
The Principle of Total Evidence, postulated by Carnap in 1947, implies that to achieve the best assignation of a probability, all available information should be considered, subject to cost. For the evaluation of evidence, it is important that the best assignation of probability be made. The benefits of such an assignation ...
The Principle of Total Evidence, postulated by Carnap in 1947, implies that to achieve the best assignation of a probability, all available information should be considered, subject to cost. For the evaluation of evidence, it is important that the best assignation of probability be made. The benefits of such an assignation ...
Research Article
This section addresses claims made by Guyll et al. (2023 , p. 3) about the positive predictive value (PPV), defined as ‘the proportion of identification decisions that are correct’. They use the PPV to quantify the ‘probative value’ of a firearms examiner’s decision. Negative predictive value (NPV) is defined ...
This section addresses claims made by Guyll et al. (2023 , p. 3) about the positive predictive value (PPV), defined as ‘the proportion of identification decisions that are correct’. They use the PPV to quantify the ‘probative value’ of a firearms examiner’s decision. Negative predictive value (NPV) is defined ...
Research Article
Studying the repeatability and reproducibility of decisions made during forensic examinations is important in order to better understand variation in decisions and establish confidence in procedures. For disciplines that rely on comparisons made by trained examiners such as for latent prints, handwriting, and cartridge ...
Studying the repeatability and reproducibility of decisions made during forensic examinations is important in order to better understand variation in decisions and establish confidence in procedures. For disciplines that rely on comparisons made by trained examiners such as for latent prints, handwriting, and cartridge ...
Research Article
In the process of developing and improving statistical models to address flaws in the examination and interpretation of highly selective fingermarks, the groundwork is being laid for a much broader and greater impact. This impact will arise from the use of these same improved statistical methods to exploit information from ...
In the process of developing and improving statistical models to address flaws in the examination and interpretation of highly selective fingermarks, the groundwork is being laid for a much broader and greater impact. This impact will arise from the use of these same improved statistical methods to exploit information from ...
Research Article
This article analyzes and discusses the problem of reliance on expert and machine evidence, including Artificial Intelligence output, from a decision-analytic point of view. Machine evidence is broadly understood here as the result of computational approaches, with or without a human-in-the-loop, applied to the analysis ...
This article analyzes and discusses the problem of reliance on expert and machine evidence, including Artificial Intelligence output, from a decision-analytic point of view. Machine evidence is broadly understood here as the result of computational approaches, with or without a human-in-the-loop, applied to the analysis ...
Research Article
The Bayes’ theorem can be generalized to account for uncertainty on reported evidence. This has an impact on the value of the evidence, making the computation of the Bayes factor more demanding, as discussed by Taroni, Garbolino, and Bozza (2020) . Probabilistic graphical models can however represent a suitable tool to ...
The Bayes’ theorem can be generalized to account for uncertainty on reported evidence. This has an impact on the value of the evidence, making the computation of the Bayes factor more demanding, as discussed by Taroni, Garbolino, and Bozza (2020) . Probabilistic graphical models can however represent a suitable tool to ...
Delve into the Women in Science collection
Recognizing and Celebrating Women in Science
Oxford University Press is proud to support diverse voices across our publishing. In this collection, we shine a spotlight on the representation of women in scientific fields, the gains that have been made in their fields, from research and major discoveries to advocacy and outreach, and amplify the voices of women who have made a career in scientific research.
Delve into the Women in Science collection
