Some full texts of my publications can be found here.

Click here for Google Scholar.

Forensics (mostly forensic genetics):

(31) Corina CG Benschop, Jerry Hoogenboom, Pauline Hovers, Martin Slagter, Dennis Kruise, Raymond Parag, Kristy Steensma, Klaas Slooten, Jord HA Nagel, Patrick Dieltjes, Vincent van Marion, Heidi van Paassen, Jeroen de Jong, Christophe Creeten, Titia Sijen, Alexander LJ Kneppers, DNAxs/DNAStatistX: Development and validation of a software suite for the data management and probabilistic interpretation of DNA profiles, FSI: G 2019
(30) R.Meester, K. Slooten, Calculating the Posterior Odds from a Single-Match DNA Database Search under various Scenarios with Minimal Assumptions, Law, Probability and Risk, 2019
(29) R. Meester, K Slooten, Ne bis in idem - -  a commentary on ``Calculating the Posterior Odds from a Single-Match DNA Database Search". Law, Probability and Risk, 2019
(28) K. Slooten, Meer onzekerheid maar niet minder zekerheid: Bewijswaarde en ontrafeling van DNA-mengprofielen, Expertise en Recht, 2019
(27) K. Slooten, The information gain from peak height data in DNA mixtures, FSI:G 2018
(26) K. Slooten, A. Caliebe, Contributors are a nuisance (parameter) for DNA mixture evidence evaluation, FSI:G, 2018.
(25) K. Slooten, C. Berger, Response paper to “The likelihood of encapsulating all uncertainty”: The relevance of additional information for the LR, Science and Justice 57(6), 468-471, 2017.
(24) C. Berger, K. Slooten, The LR does not exist, Science and Justice 56 (5), 380-382, 2016.
(23) K. Slooten, Accurate assessment of the weight of evidence for DNA mixtures by integrating the likelihood ratio, accepted for publication by Forensic Science International: Genetics
(22) K. Slooten, Identifying common donors in DNA mixtures, with applications to database searches, Forensic Science International: Genetics 26, 40-47, 2017.
(21) T. Egeland, K. Slooten: The likelihood ratio as a random variable for linked markers in kinship analysis, Int. J. Legal Medicine 130(6):1445-1456, 2016.
(20) K. Slooten,  Familial Searching on DNA mixtures with dropout, Forensic Science International: Genetics  22, 128--138, 2016
(19) K. Slooten,  Discriminating between donors and their relatives in complex DNA mixtures, Forensic Science International: Genetics  21, 95--109, 2015
(18) K. Slooten,  Distinguishing mixture donors from relatives, illustrated by an example, Forensic Science International: Genetics Supplement Series, 2015.
(17) K. Slooten, T. Egeland,  Exclusion probabilities and likelihood ratios with applications to DNA mixtures, International Journal of Legal Medicine,  130(1):39-57,2016.
(16) R. Meester, K. Slooten, Familial DNA Searching (book chapter, also lemma for Wileys Encyclopedia of Forensic Science), to appear in DNA Handbook (ed. A. Jamieson), Wiley's, 2016.
(15) M.V. Kruijver, R. Meester, K. Slooten,  P-values shoud not be used for evaluating the strength of DNA evidence, Forensic Science International: Genetics  16, pp. 226-231, 2015
(14) M.V. Kruijver, R. Meester, K. Slooten,  Optimal strategies for familial searching, Forensic Science International: Genetics  13, pp. 90--103, 2014
(13) F. Ricciardi, K. Slooten,  Mutation models for DVI analysis, Forensic Science International: Genetics  11, pp. 85--95, 2014.
(12) K. Slooten, T. Egeland,  Likelihood ratios and exclusion probabilities with applications to kinship problems, International Journal of Legal Medicine  128 (3), pp. 415--425, 2014.
(11) K. Slooten, R. Meester,  Probabilistic Strategies for Familial DNA Searching, Journal of the Royal Statistical Society Series C,  63 (3), pp. 361-384, 2014.
(10) K. Slooten, F. Ricciardi,  Estimation of mutation probabilities for autosomal STR markers, Forensic Science International: Genetics  7 (3), pp. 337--344, 2013.
(9) H. Haned, K. Slooten, P. Gill,  Exploratory data analysis for the interpretation of  low template DNA mixtures, Forensic Science International: Genetics  7(3), pp. 762--774, 2012.
(8) A. Meulenbroek, K. Slooten, D. Aben, A. Kal, C. van Kooten,  DNA-verwantschapsonderzoek in de strafrechtpraktijk, Expertise en Recht, 2012.
(7) K. Slooten,  Kansrekening in forensisch DNA-onderzoek, Nieuw Archief voor Wiskunde 5/13, maart 2012, 7 pagina's.
(6) K. Slooten,  Match probabilities for multiple siblings, Forensic Science International: Genetics  7 (3), pp. 466--468, 2012.
(5) K. Slooten and R. Meester,  Statistical Aspects of Familial Searching, Forensic Science International: Genetics Supplement Series 3 (2011), e617--e619.
(4) K. Slooten and R. Meester,  Forensic Identification: the Island Problem and its generalisations, Statistica Neerlandica 65 (2), pp. 202--237, 2011.
(3) K. Slooten,  Validation of DVI Software `Bonaparte' by computation of Pedigree Likelihood Ratios, Forensic Science International: Genetics  5 (4), pp. 308-315, 2011.
(2) C. van Dongen, K. Slooten, M. Slagter, W. Burgers, W. Wiegerinck,  Bonaparte: Application of new software for missing person's programme, Forensic Science International: Genetics Supplement Series 3 (2011), e119--e120.
(1) C. van Dongen, K. Slooten, W. Burgers, W. Wiegerinck,  Bayesian networks for victim identification on the basis of DNA profiles, Forensic Science International: Genetics Supplement Series 2 (2009), 466--468.

In preparation:
* DNA database matches: A p or np difficult problem? (with Ronald Meester)
* Likelihood ratio uncertainty and the interpretation of the posterior likelihood ratio distribution (with Ronald Meester)
and more.

Algebra:

K. Slooten, Reducibility of induced discrete series representations for affine Hecke algebras of type B,  International Mathematics Research Notices (2008) Vol. 2008, pp. 165-210.
K. Slooten, Generalized Springer correspondence and Green functions for type B/C graded Hecke algebras', Advances in Mathematics 203 (2006), pp. 34-108.
K. Slooten, A combinatorial generalization of the Springer correspondence of type B_n'', Proceedings of the 2002 Twente Conference on Lie groups, Acta Applicandae Mathematicae 86 (2005), no. 1-2, 159--177.
K. Slooten, A combinatorial generalization of the Springer correspondence for classical type, Ph.D. thesis, Universiteit van Amsterdam, 2003.

Back to homepage