Jacob de Zoete

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Marjan SjerpsNetherlands Forensic InstituteDirección de correo verificada de nfi.minvenj.nl
Bas KokshoornNetherlands Forensic InstituteDirección de correo verificada de nfi.minvenj.nl
James M. CurranProfessor of Statistics, University of AucklandDirección de correo verificada de stat.auckland.ac.nz
Duncan TaylorForensic Science SADirección de correo verificada de sa.gov.au
David LagnadoUniversity College LondonDirección de correo verificada de ucl.ac.uk
Charles E.H. BergerNetherlands Forensic Institute, Leiden UniversityDirección de correo verificada de law.leidenuniv.nl
Martin NeilProfessor of Computer Science and Statistics, Queen Mary University of London and Founder, Agena LtdDirección de correo verificada de qmul.ac.uk
David H. KayeDistinguished Professor Emeritus, Penn State LawDirección de correo verificada de psu.edu
David BaldingHonorary positions at Melbourne Integrative Genomics, U Melbourne, and UCL Genetics InstituteDirección de correo verificada de unimelb.edu.au
Geoffrey Stewart MorrisonForensic Data Science Laboratory, Aston UniversityDirección de correo verificada de forensic-evaluation.net
Richard D. GillProfessor of Mathematical Statistics, Leiden UniversityDirección de correo verificada de math.leidenuniv.nl
Philip DawidEmeritus Professor of Statistics, University of CambridgeDirección de correo verificada de statslab.cam.ac.uk
Remi WietenPhD Utrecht UniversityDirección de correo verificada de uu.nl
Eric CatorProfessor of Applied Stochastics, Radboud University NijmegenDirección de correo verificada de math.ru.nl

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Jacob de Zoete

Postdoctoral Research Assistant, Queen Mary University of London

Dirección de correo verificada de qmul.ac.uk

forensic statistics bayesian


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Activity level DNA evidence evaluation: on propositions addressing the actor or the activity B Kokshoorn, BJ Blankers, J de Zoete, CEH Berger Forensic science international 278, 115-124, 2017	42	2017
A comment on the PCAST report: skip the “match”/“non-match” stage GS Morrison, DH Kaye, DJ Balding, D Taylor, P Dawid, CGG Aitken, ... Forensic Science International 272, e7-e9, 2017	39	2017
The interpretation of traces found on adhesive tapes R Wieten, J De Zoete, B Blankers, B Kokshoorn Law, probability and risk 14 (4), 305-322, 2015	35	2015
Modelling crime linkage with Bayesian networks J de Zoete, M Sjerps, D Lagnado, N Fenton Science & Justice 55 (3), 209-217, 2015	35	2015
A probabilistic approach for the interpretation of RNA profiles as cell type evidence J de Zoete, J Curran, M Sjerps Forensic Science International: Genetics 20, 30-44, 2016	30	2016
Cell type determination and association with the DNA donor J de Zoete, W Oosterman, B Kokshoorn, M Sjerps Forensic Science International: Genetics 25, 97-111, 2016	19	2016
Resolving the so-called “probabilistic paradoxes in legal reasoning” with Bayesian networks J de Zoete, N Fenton, T Noguchi, D Lagnado Science & Justice 59 (4), 367-379, 2019	15	2019
Modelling the dependence structure of Y-STR haplotypes using graphical models MM Andersen, J Curran, J de Zoete, D Taylor, J Buckleton Forensic Science International: Genetics 37, 29-36, 2018	12	2018
Evaluating evidence in linked crimes with multiple offenders J de Zoete, M Sjerps, R Meester Science & Justice 57 (3), 228-238, 2017	11	2017
From sub-source to source: Interpreting results of biological trace investigations using probabilistic models WT Oosterman, B Kokshoorn, PA Maaskant-van Wijk, J de Zoete Forensic Science International: Genetics Supplement Series 5, e590-e591, 2015	10	2015
Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: Towards model generalization within and across multiple thyroid cohorts J Höhne, J de Zoete, AA Schmitz, T Bal, E di Tomaso, M Lenga MICCAI Workshop on Computational Pathology, 105-116, 2021	7	2021
The combined evidential value of autosomal and Y-chromosomal DNA profiles obtained from the same sample J de Zoete, M Sjerps, R Meester, E Cator International journal of legal medicine 128, 897-904, 2014	7	2014
Combining multiple pieces of evidence using a lower bound for the LR J de Zoete, M Sjerps Law, Probability and Risk 17 (2), 163-178, 2018	4	2018
Combining forensic evidence JC de Zoete Universiteit van Amsterdam [Host], 2016	2	2016
Corrigendum to “Modelling the dependence structure of Y-STR haplotypes using graphical models”[Forensic Sci. Int.: Genet. 37 (1)(2018) 29–36] MM Andersen, J Curran, J de Zoete, D Taylor, J Buckleton Forensic Science International: Genetics 41, e30, 2019	1	2019
Categorical methods for the interpretation of RNA profiles as cell type evidence and their limitations J de Zoete, J Curran, M Sjerps Forensic Science International: Genetics Supplement Series 5, e305-e307, 2015	1	2015
Het gebruik van schakelbewijs; juridische en kans-theoretische gezichtspunten J de Zoete, K Vriend, M Dolman, R Meester, M Sjerps Expertise en Recht 2014, 2014	1	2014
Modeling complex legal cases as a Bayesian network using idioms and sensitivity analysis with the Collins case as a complete example NE FENTON, J DE ZOETE, D Lagnado		2017
Automatic Generation of Bayesian networks in Forensic Science J De Zoete, N Fenton		2017
Automatic Generation of Bayesian networks in Forensic Science NE FENTON, J DE ZOETE		2017

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