scholarly journals Traditional conclusions in footwear examinations versus the use of the Bayesian approach and likelihood ratio: a review of a recent UK appellate court decision

2012 ◽  
Vol 11 (4) ◽  
pp. 279-287 ◽  
Author(s):  
W. J. Bodziak
2019 ◽  
Vol 11 (1) ◽  
pp. 95-112
Author(s):  
Jerzy Konieczny ◽  
Paulina Wolańska-Nowak

The starting point of the paper is the observation that the likelihood ratio (LR) is not used in the evaluation practice of — so important in the field of internal security — polygraph examinations. Meanwhile, LR is the only scientifically justifiable parameter that shows the evidential weight of particular evidence. The authors present theoretical attempts to use LR for evidential assessment of the polygraph examinations value and subject them to criticism. The main objective of the paper is to present the LR calculation procedure in the context of interpretation of a polygraph examination result treated as evaluative expertise. The following assumptions are made: the analysis includes only comparison question techniques; examination results enable to include a relevant subject only in one of the three categories: deception indicated, no deception indicated, inconclusive; there are various ways to assign LR; in the course of LR assignment, the arbitrary adoption of the values of some variables is admissible. Several examples of LR calculations are presented in different tactical configurations of polygraph examinations. The significance of including the inconclusive results in the examination technique characteristics is analysed. The possibility of applying the cumulative LR is indicated, however, leaving this question open. Consequences of the LR application in the interpretation of polygraph examinations are also presented as an argument in the criminal analysis. Conclusions show that treating polygraph examinations as evaluative expertise opens a new perspective on this method of forensic identification and deserves to be continued; however, the issue of the evidential use of polygraph examination results, in the light of the evaluation made with the use of the Bayesian approach, requires a number of further discussions among lawyers and scientists.


2021 ◽  
Vol 14 (2) ◽  
pp. 231-232
Author(s):  
Adnan Kastrati ◽  
Alexander Hapfelmeier

Author(s):  
Daiane Aparecida Zuanetti ◽  
Luis Aparecido Milan

In this paper, we propose a new Bayesian approach for QTL mapping of family data. The main purpose is to model a phenotype as a function of QTLs’ effects. The model considers the detailed familiar dependence and it does not rely on random effects. It combines the probability for Mendelian inheritance of parents’ genotype and the correlation between flanking markers and QTLs. This is an advance when compared with models which use only Mendelian segregation or only the correlation between markers and QTLs to estimate transmission probabilities. We use the Bayesian approach to estimate the number of QTLs, their location and the additive and dominance effects. We compare the performance of the proposed method with variance component and LASSO models using simulated and GAW17 data sets. Under tested conditions, the proposed method outperforms other methods in aspects such as estimating the number of QTLs, the accuracy of the QTLs’ position and the estimate of their effects. The results of the application of the proposed method to data sets exceeded all of our expectations.


Author(s):  
Pamela C. Corley ◽  
Wendy L. Martinek

The three-judge panel mechanism by which the courts of appeals process almost all (though not quite all) of their cases affords scholars unique opportunities to explore how appellate court decision-making may transcend being merely the sum of its parts. Specifically, court of appeals judges pursue their decision-making responsibilities as part of a collegial group, and thus it is important to understand how being a member of a multimember court influences their behavior.


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