Simulating events of unknown probabilities via reverse time martingales. - Krzysztof Latuszynski; Ioannis Kosmidis; Omiros Papaspiliopoulos; Gareth O. Roberts (Random Struct. Algorithms, 2011)

Model-based clustering using copulas with applications. - Ioannis Kosmidis; Dimitris Karlis (Stat. Comput., 2016)

Location-adjusted Wald statistics for scalar parameters. - Claudia Di Caterina; Ioannis Kosmidis (Comput. Stat. Data Anal., 2019)

Modeling outcomes of soccer matches. - Alkeos Tsokos; Santhosh Narayanan; Ioannis Kosmidis; Gianluca Baio; Mihai Cucuringu; Gavin Whitaker; Franz J. Király (Mach. Learn., 2019)

Correction to: Modeling outcomes of soccer matches. - Alkeos Tsokos; Santhosh Narayanan; Ioannis Kosmidis; Gianluca Baio; Mihai Cucuringu; Gavin Whitaker; Franz J. Király (Mach. Learn., 2019)

Modelling rankings in R: the PlackettLuce package. - Heather L. Turner; Jacob van Etten; David Firth; Ioannis Kosmidis (Comput. Stat., 2020)

Mean and median bias reduction in generalized linear models. - Ioannis Kosmidis; Euloge Clovis Kenne Pagui; Nicola Sartori (Stat. Comput., 2020)

Scalable and Interpretable Marked Point Processes. - Aristeidis Panos; Ioannis Kosmidis; Petros Dellaportas (CoRR, 2021)

Voxel-wise and spatial modelling of binary lesion masks: Comparison of methods with a realistic simulation framework. - Petya Kindalova; Ioannis Kosmidis; Thomas E. Nichols (NeuroImage, 2021)

Scalable marked point processes for exchangeable and non-exchangeable event sequences. - Aristeidis Panos; Ioannis Kosmidis; Petros Dellaportas (AISTATS, 2023)

Maximum softly-penalized likelihood for mixed effects logistic regression. - Philipp Sterzinger; Ioannis Kosmidis (Stat. Comput., 2023)

Bayesian tensor factorisations for time series of counts. - Zhongzhen Wang; Petros Dellaportas; Ioannis Kosmidis (Mach. Learn., 2024)

Bounded-memory adjusted scores estimation in generalized linear models with large data sets. - Patrick Zietkiewicz; Ioannis Kosmidis (Stat. Comput., 2024)