My citations
In Journals
ametric Bootstrap Inference for Stratified Models With High-Dimension
In Journals
ametric Bootstrap Inference for Stratified Models With High-Dimension
- Elkantassi, S., Bellio, R., Brazzale, A.R. and Davison, A.C. (2023). Improved inference for a boundary parameter. Canadian Journal of Statistics, 51, 780-799.
- Bellio, R., Kosmidis, I, Salvan, A. and Sartori, N. (2023). Parametric bootstrap inference for stratified models with high-dimensional nuisance specifications. Statistica Sinica, 33, 1069-1091.ar
- Lambardi di San Miniato, M., Bellio, R., Grassetti, L. and Vidoni, P. (2022). Separable spatio-temporal kriging for fast virtual sensing. Applied Stochastic Models in Business and Industry, 38, 806-829.
- Bellio, R., Ceschia, S., Di Gaspero, L. and Schaerf, A. (2021). Two-stage multi-neighborhood simulated annealing for uncapacitated examination timetabling. Computers and Operations Research, 132, 105300.
- De Vito, R., Bellio, R., Trippa, L. and Parmigiani, G. (2021). Bayesian multi-study factor analysis for high-throughput biological data. Annals of Applied Statistics, 15, 1723-1741.
- Battauz, M., Bellio, R. (2021). Shrinkage estimation of the three-parameter logistic model. British Journal of Mathematical and Statistical Psychology, 75, 591-609.
- Bellio, R. and Soriani, N. (2021). Maximum likelihood estimation based on the Laplace approximation for p2 network regression models. Statistica Neerlandica, 75, 24-41.
- Grassetti, L., Bellio, R., Di Gaspero, L., Fonseca, G. and Vidoni, P. (2021). An extended regularized adjusted plus-minus analysis for lineup management in basketball using play-by-play data. IMA Journal of Management Mathematics, 32, 385-409.
- De Vito, R., Bellio, R., Trippa, L. and Parmigiani, G. (2019). Multi-study factor analysis. Biometrics, 75, 337-346.
- Pierce, D.A. and Bellio, R. (2017). Modern likelihood-frequentist inference. International Statistical Review, 85, 519-541.
- Bellio, R. and Coletto, M. (2016). Simple outlier labelling based on quantile regression, with application to the steelmaking process. Applied Stochastic Models in Business and Industry, 32, 228-242.
- Bellio, R., Ceschia, S., Di Gaspero, L., Schaerf, A. and Urli, T. (2016). Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem. Computers and Operations Research, 65, 83-92.
- Bartolucci, F., Bellio, R., Salvan, A. and Sartori, N. (2016). Modified profile likelihood for fixed-effects panel data models. Econometric Reviews, 35, 1271-1289.
- Bellio, R. and Guolo, A. (2016). Integrated likelihood inference in small sample meta-analysis for continuous outcomes. Scandinavian Journal of Statistics, 43, 191-201.
- Francescato, M.P., Cettolo, V. and Bellio, R. (2015). Interpreting the confidence intervals of model parameters of breath-by-breath pulmonary O2 uptake. Experimental Physiology, 100, 475.
- Pierce, D.A. and Bellio, R. (2015). Beyond first-order asymptotics for Cox regression. Bernoulli, 21, 401-419.
- Francescato, M.P., Cettolo, V. and Bellio, R. (2014). Assembling more O2 uptake responses: Is it possible to merely stack the repeated transitions? Respiratory Physiology and Neurobiology, 200, 46-49.
- Francescato, M.P., Cettolo, V. and Bellio, R. (2014). Confidence Intervals for the parameters estimated from simulated O2 uptake kinetics: effects of different data treatments. Experimental Physiology, 99, 187-195.
- Bellio, R., Di Gaspero, L. and Schaerf, A. (2012). Design and statistical analysis of a hybrid local search algorithm for course timetabling. Journal of Scheduling, 15, 49–61.
- Bellio, R. and Brazzale, A.R. (2011). Restricted likelihood inference for generalized linear mixed models. Statistics and Computing, 21, 173-183.
- Bellio, R. and Grassetti, L. (2011). Semiparametric stochastic frontier models for clustered data. Computational Statistics and Data Analysis, 55, 71-83.
- Battauz, M., Bellio, R. (2011). Structural modelling of measurement error in generalized linear models with Rasch measures as covariates. Psychometrika, 76, 40-56.
- Battauz, M., Bellio, R. and Gori, E. (2011). Covariate measurement error adjustment for multilevel models with application to educational data. Journal of Educational and Behavioral Statistics, 36, 283-306.
- Bellio, R., Greco, L. and Ventura, L. (2008). Modified quasi-profile likelihoods from estimating functions. Journal of Statistical Planning and Inference, 138, 3059-3068.
- Battauz, M., Bellio, R. and Gori, E. (2008). Reducing measurement error in student achievement estimation. Psychometrika, 73, 289-302.
- Bellio, R. (2007). Algorithms for bounded-influence estimation. Computational Statistics and Data Analysis, 51, 2531-2541.
- Bellio, R. and Sartori, N. (2006). Practical use of modified maximum likelihoods for stratified data. Biometrical Journal, 48, 876-886.
- Pierce, D.A., and Bellio, R. (2006). Effects of the reference set on frequentist inferences. Biometrika, 93, 425-438.
- Bellio, R. and Varin, C. (2005). A pairwise likelihood approach to generalized linear models with crossed random effects. Statistical Modelling, 5, 217-227.
- Bellio, R. and Sartori, N. (2003). Extending conditional likelihood in models for stratified binary data. Statistical Methods and Applications, 12, 121–132.
- Bellio, R. and Gori, E. (2003). Impact evaluation of job training programmes: Selection bias in multilevel models. Journal of Applied Statistics, 30, 893–907.
- Bellio, R. and Brazzale, A. R. (2003). Higher-order asymptotics unleashed: Software design for nonlinear heteroscedastic regression. Journal of Computational and Graphical Statistics, 12, 682–697.
- Bellio, R. (2003). Likelihood methods for controlled calibration. Scandinavian Journal of Statistics, 30, 339–353.
- Bellio, R. and Brazzale, A.R. (2001). A computer algebra package for approximate conditional inference. Statistics and Computing, 11, 17–24.
- Larsen, T., Møller, G. and Bellio, R. (2001). Evaluation of clinical and clinical chemical parameters in periparturient cows. Journal of Dairy Science, 84, 1749–1758.
- Bellio, R., Jensen, J.E. and Seiden, P. (2000). Applications of likelihood asymptotics for nonlinear regressions in herbicide bioassays. Biometrics, 56, 1204–1212.
- Carlsen, C.U., Kroger-Ohlsen, M.V., Bellio, R. and Skibsted, L.H. (2000). Protein binding in deactivation of ferrylmyoglobin by chlorogenate and ascorbate. Journal of Agricultural Food Chemistry, 48, 204–212.
- Bellio, R. and Brazzale, A.R. (1999). On the implementation of approximate conditional inference. Statistica Applicata, 11, 251-271.
- Sartori, N., Bellio, R., Pace, L. and Salvan, A. (1999). The directed modified profile likelihood in models with many nuisance parameters. Biometrika, 86, 735–742.