Ioannis Kosmidis

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David FirthEmeritus Professor of Statistics, University of Warwick確認したメールアドレス: warwick.ac.uk
Achim ZeileisUniversität Innsbruck, Faculty of Economics and Statistics確認したメールアドレス: R-project.org
nicola sartoriDepartment of Statistical Sciences, University of Padova確認したメールアドレス: stat.unipd.it
Bettina GrünWirtschaftsuniversität Wien確認したメールアドレス: wu.ac.at
Heather TurnerUniversity of Warwick確認したメールアドレス: warwick.ac.uk
EULOGE CLOVIS KENNE PAGUILecturer in statistics, Padova University確認したメールアドレス: stat.unipd.it
Andrea V. RochaUniversidade Federal da Paraíba確認したメールアドレス: ci.ufpb.br
Alexandre B. SimasResearch Scientist, Stochastic Process and Applied Statistics, KAUST確認したメールアドレス: kaust.edu.sa
Dimitris KarlisProfessor, Dept of Statistics, Athens University of Economics and Business確認したメールアドレス: aueb.gr
Thomas E. NicholsUniversity of Oxford確認したメールアドレス: bdi.ox.ac.uk
Petros DellaportasUniversity College London and Athens University of Economics and Business確認したメールアドレス: ucl.ac.uk
ioanna ioannouCEGE確認したメールアドレス: ucl.ac.uk
Tiziana RossettoUniversity College London確認したメールアドレス: ucl.ac.uk
Prof. Dr. Gareth W. PetersDuncan Endowed Chair Actuarial & Professor of Statistics for Risk & Insurance確認したメールアドレス: ucsb.edu
Ricardo SilvaProfessor of Statistical Machine Learning and Data Science, Department of Statistical Science, UCL確認したメールアドレス: stats.ucl.ac.uk
Francisco Cribari-NetoUniversidade Federal de Pernambuco, Brazil確認したメールアドレス: de.ufpe.br
Michele VeldsmanCambridge Cognition確認したメールアドレス: camcog.com
Jacob van EttenAlliance of Bioversity International and CIAT (CGIAR). Email: J dot vanEtten at cgiar dot org確認したメールアドレス: cgiar.org
Annamaria GuoloAssociate Professor Statistics, University of Padova確認したメールアドレス: unipd.it
Cristiano VarinCa' Foscari University, Venice (Italy)確認したメールアドレス: unive.it

フォロー

Ioannis Kosmidis

University of Warwick

確認したメールアドレス: warwick.ac.uk - ホームページ

Statistics Asymptotics Software development


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Extended beta regression in R: shaken, stirred, mixed, and partitioned B Grün, I Kosmidis, A Zeileis Journal of Statistical Software 48 (11), 2012	261	2012
Bias reduction in exponential family nonlinear models I Kosmidis, D Firth Biometrika 96 (4), 793-804, 2009	259	2009
brglm: Bias Reduction in Binomial-Response Generalized Linear Models I Kosmidis R package, 0	235*
brglm2: Bias Reduction in Generalized Linear Models I Kosmidis R Package, 0	181*
betareg: Beta Regression A Zeileis, F Cribari-Neto, B Gruen, I Kosmidis, AB Simas, AV Rocha R package, 0	143*
Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models I Kosmidis, D Firth Biometrika, 2020	142	2020
Mean and median bias reduction in generalized linear models I Kosmidis, EC Kenne Pagui, N Sartori Statistics and Computing 30 (1), 43-59, 2020	130	2020
Bias in parametric estimation: reduction and useful side‐effects I Kosmidis Wiley Interdisciplinary Reviews: Computational Statistics 6 (3), 185-196, 2014	107	2014
Model-based clustering using copulas with applications I Kosmidis, D Karlis Statistics and computing 26, 1079-1099, 2016	105	2016
A generic algorithm for reducing bias in parametric estimation I Kosmidis, D Firth Electronic Journal of Statistics 4, 1097-1112, 2010	96	2010
Modelling rankings in R: the PlackettLuce package HL Turner, J van Etten, D Firth, I Kosmidis Computational Statistics 35 (3), 1027-1057, 2020	91	2020
Multinomial logit bias reduction via the Poisson log-linear model I Kosmidis, D Firth Biometrika 98 (3), 755-759, 2011	66	2011
Improved estimation in cumulative link models I Kosmidis Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014	54	2014
Modeling outcomes of soccer matches A Tsokos, S Narayanan, I Kosmidis, G Baio, M Cucuringu, G Whitaker, ... Machine Learning 108, 77-95, 2019	50	2019
Simulating events of unknown probabilities via reverse time martingales K Łatuszyński, I Kosmidis, O Papaspiliopoulos, GO Roberts Random Structures & Algorithms 38 (4), 441-452, 2011	50	2011
Spatial distribution and cognitive impact of cerebrovascular risk-related white matter hyperintensities M Veldsman, P Kindalova, M Husain, I Kosmidis, T Nichols NeuroImage: Clinical 28 (102405), 2020	40	2020
Seismic vulnerability functions for Australian buildings by using GEM empirical vulnerability assessment guidelines T Maqsood, M Edwards, I Ioannou, I Kosmidis, T Rossetto, N Corby Natural Hazards 80, 1625-1650, 2016	27	2016
Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression I Kosmidis, A Guolo, C Varin Biometrika 104 (2), 489-496, 2017	24	2017
detectseparation: Detect and Check for Separation and Infinite Maximum Likelihood Estimates I Kosmidis, D Schumacher, K Konis R package, 0	21*
A Bayesian inference approach for determining player abilities in football GA Whitaker, R Silva, D Edwards, I Kosmidis arXiv preprint arXiv:1710.00001, 2017	15*	2017

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