Ioannis Ntzoufras

Current Research and Other Material


  1. Vitoratou, S., Ntzoufras, I and Moustaki, I. (2011). Marginal Likelihood Estimation from a Single Run Metropolis-Hastings Output for Models with Local Independence (submitted) [First version: 24/10/2011].
  2. Fouskakis, D., Ntzoufras, I. and Draper, D. (2011). Power-Intrinsic Bayesian Variable Selection in Gaussian Linear Models (submitted) [First version: 1/9/2011].
  3. Ntzoufras I. and Tarantola C. (2008). Bayesian Analysis of Marginal Log-Linear Graphical Models for Three Way Contingency Tables.(submitted) [first version 22/5/2008; currently under revision].

Work in Progress

  • Ntzoufras, I and Tarantola, C. (2007-2011). Bayesian Inference and Model Selection for Marginal Association Graphical Models for Discrete Data. Financed by PEVE3 (RC/AUEB).
  • Fouskakis, D., Ntzoufras, I and Draper, D. (2009-2011). Conditional Power Intrinsic Variable Selection for Normal Models.

Latest Presentations

  1. December 7, 2010, Emeis+Emeis Seminar Series, AUEB, Athens. "On Bayesian Variable Selection Using Lasso and the specification of the shrinkage parameter".
  2. 23–25 Σεπτεμβρίου 2010, 2nd Greco Italian Meeting on Statistics, Sardinia, Italy. On Bayesian Variable Selection Using Lasso”.
  3. June 2, 2010, Department of Mathematical Sciences, University of Bath, UK. Incorporating cost in Bayesian Variable Selection, with application to cost-effective measurement of quality of health care
  4. May 30 - June 1, 2010, Workshop on Model Uncertainty, CRISM, University of Warwick, UK, “Population-Based Reversible-Jump MCMC for Bayesian Variable Selection and Evaluation Under Cost-Limit Restrictions.
  5. December 3, 2009, Department of Mathematics, National Kapodistrian University of Athens, Greence. Incorporating cost in Bayesian Variable Selection, with application to cost-effective measurement of quality of health care.
  6. September 25, 2009, London School of Economics, London, UK, Incorporating cost in Bayesian Variable Selection, with application to cost-effective measurement of quality of health care.
  7. September 23, 2009, Heriot-Watt University, Edinburgh, UK, Population-Based Reversible-Jump MCMC for Bayesian Variable Selection and Evaluation Under Cost-Limit Restrictions.
  8. September 22, 2009Heriot-Watt University, Edinburgh, UK, An Introductory Tutorial on Bayesian Variable Selection.

Software

  1. Football Analyzer by Nikos Moustakidis (supervised by I.Ntzoufras).
  2. Bivpois R-package by Karlis and Ntzoufras (2011).

Unpublished Technical Reports

  • Ghosh P. and Ntzoufras I. (2005). Testing Population and Individual Bioequivalence: A Hierarchical Bayesian Approach.
  • Karlis, D. and Ntzoufras, I. (2000), Discrete Distributions with Applications in Sports, Technical Report 64, Department of Statistics, Athens University of Economics and Business. Download.
  • Ntzoufras, I., Dellaportas, P. and Forster, J.J. (1999). MCMC Variable and Link Determination in Generalised Linear Models. Technical Report 65, Department of Statistics, Athens University of Economics and Business.Download.

 

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Last revised: 15-11-2001