SARTORI NICOLA

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Structure Department of Statistical Sciences
Telephone 0498274127
Qualification Professore associato confermato
Scientific sector SECS-S/01 - STATISTICS
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Curriculum Vitae
Nicola Sartori graduated from the University of Padova in 1997 and obtained his PhD in Statistics from the same university in 2002.

He has been Assistant Professor at the Department of Statistics of the Ca' Foscari University of Venice from 2004 to September 2010 and at the Department of Statistics of the University of Padova from October 2010 to November 2011. Since December 2011 he is Associate Professor.

He is a member of the International Statistical Institute and the Royal Statistical Society and has held visiting positions at the University of Toronto (Visiting Scholar, October 1999 - December 2000), Northwestern University (Predoctoral Fellow, January 2001 - June 2001), Ecole Polytechnique Fédérale de Lausanne (October 2006 - December 2006) and University College London (September 2014 - December 2014).

He is Associate Editor of Stat - The ISI's journal for the Rapid Dissemination of Statistics Research (2015-) and of Journal of Statistical Planning and Inference (2017-).

Publications
Some recent publications
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Kyriakou, S., Kosmidis, I. and Sartori, N. (2018). Median bias reduction in random-effects meta-analysis and meta-regression. Statistical Methods in Medical Research, to appear.

Kenne Pagui, E. K., Salvan, A. and Sartori, N. (2017). Median bias reduction of maximum likelihood estimates. Biometrika, 104, 923-938.

Tiberi, S., Scarpa, B. and Sartori, N. (2017). A composite likelihood approach to predict the sex of the baby. Statistical Methods in Medical Research, to appear.

Ruli, E., Sartori, N. and Ventura, L. (2016). Improved Laplace approximation for marginal likelihoods. Electronic Journal of Statistics, 10, 3986-4009.

Fraser, D.A.S., Reid, N. and Sartori, N. (2016). Accurate directional inference for vector parameters. Biometrika, 103, 625-639.

Cortese, G. and Sartori, N. (2016). Integrated likelihoods in parametric survival models for highly clustered censored data. Lifetime Data Analysis, 22, 382-404.

Cattelan, M. and Sartori, N. (2016). Empirical and simulated adjustments of composite likelihood ratio statistics. Journal of Statistical Computation and Simulation, 86, 1056-1067.

Ruli, E., Sartori, N. and Ventura, L. (2016). Approximate Bayesian Computation with composite score functions, Statistics and Computing, 26, 679-692.

Bartolucci, F., Bellio, R., Salvan, A. and Sartori, N. (2016). Modified profile likelihood for fixed-effects panel data models. Econometric Reviews, 35, 1271-1289.

De Bin, R., Sartori, N. and Severini, T. A. (2015). Integrated likelihoods in models with stratum nuisance parameters. Electronic Journal of Statistics, 9, 1474-1491.

Pace, L., Salvan, A. and Sartori, N. (2015). Inference from pseudo likelihoods with plug-in estimates. Australian and New Zealand Journal of Statistics, 57, 347-361.

Kenne Pagui, E. K., Salvan, A. and Sartori, N. (2015). On full efficiency of the maximum composite likelihood estimator. Statistics and Probability Letters, 97, 120-124.

Kenne Pagui, E. K., Salvan, A. and Sartori, N. (2014). Combined composite likelihood. The Canadian Journal of Statistics, 42, 525-543.

Davison, A.C., Fraser, D.A.S., Reid, N. and Sartori, N. (2014). Accurate directional inference for vector parameters in linear exponential families. Journal of the American Statistical Association, 109, 302-314.

Ruli, E., Sartori, N. and Ventura, L. (2014). Marginal posterior simulation via higher-order tail area approximation. Bayesian Analysis, 9, 129-146.

List of taught course units in A.Y. 2018/19
No course unit for this A.Y.