Dr Ioannis Kosmidis
|Phone (external)||+44 (0) 20 7679 1862|
|Themes||General Theory and Methodology, Computational Statistics|
Ioannis Kosmidis is a Senior Lecturer at the Department of Statistical Science at University College London. He completed a PhD in Statistics in 2007 at the Department of Statistics, University of Warwick, where he subsequently held an appointment as a CRiSM Research Fellow until 2010. He joined UCL as a Lecturer in September 2010.
More information can be found at his personal webpage.
- Methods for optimal estimation and inference of statistical models.
- Inference and computation of statistical models from big data sets.
- Clustering methods and applications.
- Model-based clustering using copulas with applications. Kosmidis, I. and Karlis, D. (2015). To appear in Statistics and Computing (also available at ArXiv e-prints, arXiv:1404.4077).
- Improved estimation in cumulative link models. Kosmidis, I. (2014). Journal of the Royal Statistical Society: Series B, 76, 169-196.
- Extended Beta regression in R: Shaken, stirred, mixed, and partitioned. Grün, B., Kosmidis, I. and Zeileis, A.(2012). Journal of Statistical Software, 48, 11.
- Simulating Events of Uknown Probabilities via Reverse Time Martingales. Latuszynski, K., Kosmidis, I., Papaspiliopoulos, O. and Roberts, G. O. (2011). Random Structures and Algorithms, 38, 441-452.
- Multinomial logit bias reduction via the Poisson log-linear model. Kosmidis, I., Firth, D. (2010). Biometrics, 98, 755-759.
- A generic algorithm for reducing bias in parametric estimation. Kosmidis, I., Firth, D. (2010). Electronic Journal of Statistics, 4, 1097-1112.
- Bias Reduction in Exponential Family Nonlinear Models. Kosmidis, I., Firth, D. (2009). Biometrika, 96, 793-804.