Pubblicazioni (pagina personale)

 

 

Alcune pubblicazioni

Ruli, E., Sartori, N. and Ventura, L. (2019+). Robust approximate Bayesian inference. Journal of Statistical Planning and Inference, to appear.

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

Kosmidis, I., Kenne Pagui, E. C. and Sartori, N. (2019). Mean and median bias reduction in generalized linear models. Statistics and Computingdoi:10.1007/s11222-019-09860-6.

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.

 

 

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