Extended beta regression in R: shaken, stirred, mixed, and partitioned B Grün, I Kosmidis, A Zeileis Journal of Statistical Software 48 (11), 2012 | 253 | 2012 |
Bias reduction in exponential family nonlinear models I Kosmidis, D Firth Biometrika 96 (4), 793-804, 2009 | 248 | 2009 |
brglm: Bias Reduction in Binomial-Response Generalized Linear Models I Kosmidis R package, 0 | 228* | |
brglm2: Bias Reduction in Generalized Linear Models I Kosmidis R Package, 0 | 164* | |
betareg: Beta Regression A Zeileis, F Cribari-Neto, B Gruen, I Kosmidis, AB Simas, AV Rocha R package, 0 | 137* | |
Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models I Kosmidis, D Firth Biometrika, 2020 | 127 | 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 | 118 | 2020 |
Bias in parametric estimation: reduction and useful side‐effects I Kosmidis Wiley Interdisciplinary Reviews: Computational Statistics 6 (3), 185-196, 2014 | 103 | 2014 |
Model-based clustering using copulas with applications I Kosmidis, D Karlis Statistics and computing 26, 1079-1099, 2016 | 100 | 2016 |
A generic algorithm for reducing bias in parametric estimation I Kosmidis, D Firth Electronic Journal of Statistics 4, 1097-1112, 2010 | 95 | 2010 |
Modelling rankings in R: the PlackettLuce package HL Turner, J van Etten, D Firth, I Kosmidis Computational Statistics 35 (3), 1027-1057, 2020 | 83 | 2020 |
Multinomial logit bias reduction via the Poisson log-linear model I Kosmidis, D Firth Biometrika 98 (3), 755-759, 2011 | 64 | 2011 |
Improved estimation in cumulative link models I Kosmidis Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014 | 50 | 2014 |
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 | 48 | 2011 |
Modeling outcomes of soccer matches A Tsokos, S Narayanan, I Kosmidis, G Baio, M Cucuringu, G Whitaker, ... Machine Learning 108, 77-95, 2019 | 38 | 2019 |
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 | 37 | 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 | 26 | 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 | 17* | |
Empirical seismic vulnerability assessment of Icelandic buildings affected by the 2000 sequence of earthquakes I Ioannou, B Bessason, I Kosmidis, JÖ Bjarnason, T Rossetto Bulletin of Earthquake Engineering 16, 5875-5903, 2018 | 14 | 2018 |