Salta al contenuto

Pubblicazioni (pagina personale)

Alcune pubblicazioni

Di Caterina, C., Reid, N. and Sartori, N. (2023+). Directional tests in Gaussian graphical models. Statistica Sinica, to appear.

Bellio, R., Kosmidis, I., Salvan, A. and Sartori, N. (2023). Parametric bootstrap inference for stratified models with high-dimensional nuisance specifications. Statistica Sinica, 30, 1069-1091.

Huang, C., Di Caterina, C. and Sartori, N. (2022). Directional testing for high dimensional multivariate normal distributions. Electronic Journal of Statistics, 16, 6489-6511.

Salvan, A., Pace, L. and Sartori, N. (2022+). Confidence sequences with composite likelihoods. The Canadian Journal of Statistics, to appear.

Kenne Pagui, E. K., Salvan, A. and Sartori, N. (2022). Improved estimation in negative binomial regression. Statistics in Medicine, 41, 2403-2416.

Salvan, A., Pace, L. and Sartori, N. (2020). Modelli Lineari Generalizzati. Springer-Verlag.

Ruli, E., Sartori, N. and Ventura, L. (2020). Robust approximate Bayesian inference. Journal of Statistical Planning and Inference, 205, 10-22.

Kosmidis, I., Kenne Pagui, E. C. and Sartori, N. (2020). Mean and median bias reduction in generalized linear models. Statistics and Computing, 30, 43-59.

Mc Cormack, A.,  Reid, N., Sartori, N. and Theivendran, S. A. (2019). A directional look at F-tests. The Canadian Journal of Statistics, 47, 619-627.

Pace, L., Salvan, A. and Sartori, N. (2019). Efficient composite likelihood for a scalar parameter of interest. Stat, 8, e222.

Di Caterina, C., Cortese, G. and Sartori, N. (2019). Monte Carlo modified likelihood for clustered data. Electronic Journal of Statistics, 13, 432-464.

Kyriakou, S., Kosmidis, I. and Sartori, N. (2019). Median bias reduction in random-effects meta-analysis and meta-regression. Statistical Methods in Medical Research, 28, 1622-1636.

Tiberi, S., Scarpa, B. and Sartori, N. (2018). A composite likelihood approach to predict the sex of the baby. Statistical Methods in Medical Research, 27, 3386-3396.

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

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, 106, 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.

Ventura, L., Sartori, N. and Racugno, W. (2013). Objective Bayesain higher-order asymptotics in models with nuisance parameters. Computational Statistics and Data Analysis, 60, 90-96.

Pace, L., Salvan, A. and Sartori, N. (2011). Adjusting composite likelihood ratio statistics. Statistica Sinica, 21, 129-148. 

Sartori, N., Severini, T.A. and Marras, L. (2010). An alternative specification of generalized linear mixed models. Computational Statistics and Data Analysis, 54, 575-584.

Davison, A. C. and Sartori, N. (2008). The Banff Challenge: Statistical Detection of a Noisy Signal. Statistical Science, 23, 354-364.

Bellio, R. and Sartori, N. (2006). Practical use of modified maximum likelihoods for stratified data. Biometrical Journal, 48, 876-886. 

Sartori, N. (2006). Bias prevention of maximum likelihood estimates for scalar skew normal and skew t distributions. Journal of Statistical Planning and Inference, 136, 4259-4275.

Sartori, N., Salvan, Alb. and Thomaseth, K. (2005). Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose. Computational Statistics and Data Analysis, 49, 937-953.

Sartori, N., Thomaseth, K. and Salvan, Alb. (2004). Local influence analysis when interfacing toxicokinetic and proportional hazard models. Statistics in Medicine, 23, 2399-2412.

Sartori, N. and Severini, T.A. (2004). Conditional likelihood inference in generalized linear mixed models. Statistica Sinica, 14, 349-360.

Bellio, R. and Sartori, N. (2003). Extending conditional likelihood in models for stratified binary data. Statistical Methods & Applications, 12, 121-132.

Sartori, N. (2003). Modified profile likelihoods in models with stratum nuisance parameters. Biometrika, 90, 533-549.

Sartori, N. (2003). A note on likelihood asymptotics for normal linear regression. Annals of the Institute of Statistical Mathematics, 55, 187-195.

Sartori, N., Salvan, Ale. and Pace, L. (2003). A note on directed adjusted profile likelihoods. Journal of Statistical Planning and Inference, 110, 1-9.

Salvan, Alb., Thomaseth, K., Bortot, P. and Sartori, N. (2001). Use of a toxicokinetic model in the analysis of cancer mortality in relation to the estimated absorbed dose of dioxin. The Science of the Total Environment, 274, 21-35.

Salvan, Alb., Thomaseth, K., Bortot, P. and Sartori, N. (1999). Uncertainty in estimating exposure using a toxicokinetic model: the example of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). Annals of the New York Academy of Sciences, 895, 125-140.

Sartori, N., Bellio, R., Salvan, Ale. and Pace, L. (1999). The directed modified profile likelihood in models with many nuisance parameters. Biometrika, 86, 735-742.

 

 

Dipartimento di Scienze Statistiche | Università degli studi di Padova