7 citations · 9 across the 3 of their papers we have counts for
5 papers · 1 filter
Mean and median bias reduction: A concise review and application to adjacent-categories logit models
Ioannis Kosmidis
The estimation of categorical response models using bias-reducing adjusted score equations has seen extensive theoretical research and applied use. The resulting estimates have bee…
Bias Reduction as a Remedy to the Consequences of Infinite Estimates in Poisson and Tobit Regression
Susanne Köll, Ioannis Kosmidis, Christian Kleiber +1
Data separation is a well-studied phenomenon that can cause problems in the estimation and inference from binary response models. Complete or quasi-complete separation occurs when…
Davidson-Luce model for multi-item choice with ties
David Firth, Ioannis Kosmidis, Heather Turner
This paper introduces a natural extension of the pair-comparison-with-ties model of Davidson (1970, J. Amer. Statist. Assoc.), to allow for ties when more than two items are compar…
Mean and median bias reduction in generalized linear models
Ioannis Kosmidis, Euloge Clovis Kenne Pagui, Nicola Sartori
This paper presents an integrated framework for estimation and inference from generalized linear models using adjusted score equations that result in mean and median bias reduction…
Two-way sparsity for time-varying networks, with applications in genomics
Thomas E. Bartlett, Ioannis Kosmidis, Ricardo Silva
We propose a novel way of modelling time-varying networks, by inducing two-way sparsity on local models of node connectivity. This two-way sparsity separately promotes sparsity acr…