Ioannis Kosmidis

发表

Model-based clustering using copulas with applications

Dimitris Karlis, Ioannis Kosmidis, I. Kosmidis, 2014, Statistics and Computing.

Correction to: Modeling outcomes of soccer matches

Franz J. Király, Gianluca Baio, Ioannis Kosmidis, 2018, Machine Learning.

Modelling rankings in R: the PlackettLuce package

Jacob van Etten, David Firth, Ioannis Kosmidis, 2018, Computational Statistics.

Modeling outcomes of soccer matches

Franz J. Király, Gianluca Baio, Ioannis Kosmidis, 2018, Machine Learning.

For a list of recent papers see the backpages of this paper. Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned

Achim Zeileis, Ioannis Kosmidis, Bettina Grün, 2022 .

Penalized likelihood inference in meta-regression

Ioannis Kosmidis, Annamaria Guolo, Cristiano Varin, 2016 .

trackeR: Infrastructure for Running and Cycling Data from GPS-Enabled Tracking Devices in R

Ioannis Kosmidis, Hannah Frick, I. Kosmidis, 2017 .

On iterative adjustment of responses for the reduction of bias in binary regression models

Ioannis Kosmidis, 2009 .

Model-based clustering using copulas

Ioannis Kosmidis, 2011 .

Mean and median bias reduction in generalized linear models

Nicola Sartori, Ioannis Kosmidis, Euloge Clovis Kenne Pagui, 2018, Stat. Comput..

Simulating events of unknown probabilities via reverse time martingales

Gareth O. Roberts, Ioannis Kosmidis, Omiros Papaspiliopoulos, 2011, Random Struct. Algorithms.

Supervised sampling for clustering large data sets

Dimitris Karlis, Ioannis Kosmidis, 2010 .

Two-way sparsity for time-varying networks with applications in genomics

Ioannis Kosmidis, Ricardo Silva, Thomas E. Bartlett, 2018, The Annals of Applied Statistics.

Bias Reduction and Shrinkage in Multinomial Logit Models

Ioannis Kosmidis, 2006 .

Seismic vulnerability functions for Australian buildings by using GEM empirical vulnerability assessment guidelines

Tiziana Rossetto, Ioannis Kosmidis, Mark Edwards, 2016, Natural Hazards.

Bias Reduction as a Remedy to the Consequences of Infinite Estimates in Poisson and Tobit Regression

Achim Zeileis, Christian Kleiber, Ioannis Kosmidis, 2021 .

Flexible marked spatio-temporal point processes with applications to event sequences from association football

Petros Dellaportas, Ioannis Kosmidis, Santhosh Narayanan, 2021 .

Voxel-wise and spatial modelling of binary lesion masks: Comparison of methods with a realistic simulation framework

Thomas E. Nichols, Ioannis Kosmidis, Petya Kindalova, 2021, NeuroImage.

Mean and median bias reduction: A concise review and application to adjacent-categories logit models

Ioannis Kosmidis, 2021 .

Scalable and Interpretable Marked Point Processes pdf

Petros Dellaportas, Ioannis Kosmidis, Aristeidis Panos, 2021, ArXiv.

Improved estimation in cumulative link models

Ioannis Kosmidis, I. Kosmidis, 2012, 1204.0105.

Upside and Downside Risk Exposures of Currency Carry Trades via Tail Dependence

Ioannis Kosmidis, Gareth W. Peters, Matthew Ames, 2014 .

Liquidity commonality does not imply liquidity resilience commonality: a functional characterisation for ultra-high frequency cross-sectional LOB data

Ioannis Kosmidis, Gareth W. Peters, Efstathios Panayi, 2014, 1406.5486.

Bias reduction in generalized linear models

Nicola Sartori, Ioannis Kosmidis, N. Sartori, 2017 .

Bias in parametric estimation: reduction and useful side‐effects

Ioannis Kosmidis, I. Kosmidis, 2013, 1311.6311.

Multinomial logit bias reduction via the Poisson log-linear model

David Firth, Ioannis Kosmidis, D. Firth, 2011 .

Bias reduction in exponential family nonlinear models

David Firth, Ioannis Kosmidis, D. Firth, 2009 .

The profileModel R package : profiling objectives for models with linear predictors

Ioannis Kosmidis, 2008 .