Articles with public access mandates - Francesco BartolucciLearn more
Not available anywhere: 5
Latent ignorability and item selection for nursing home case-mix evaluation
F Bartolucci, GE Montanari, S Pandolfi
Journal of Classification 35, 172-193, 2018
Mandates: Government of Italy
Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model
F Bartolucci, V Nigro, C Pigini
Econometric Reviews 37 (1), 61-88, 2018
Mandates: US National Science Foundation, US National Institutes of Health, Government …
Misspecification test for random effects in generalized linear finite-mixture models for clustered binary and ordered data
F Bartolucci, S Bacci, C Pigini
Econometrics and Statistics 3, 112-131, 2017
Mandates: Government of Italy
Multilevel Model-Based Clustering: A New Proposal of Maximum-A-Posteriori Assignment
S Bacci, F Bartolucci, F Pennoni
Advanced studies in classification and data science, 3-17, 2020
Mandates: Government of Italy
Acknowledgement of referees’ services Remerciements aux membres des jurys
T Abarin, GUP Adimari, T Alonzo, M Asgharian, A Baldi Antognini, ...
The Canadian Journal of Statistics 40 (2), 396-403, 2012
Mandates: US National Institutes of Health
Available somewhere: 31
Assessing user satisfaction in the era of user experience: Comparison of the SUS, UMUX, and UMUX-LITE as a function of product experience
S Borsci, S Federici, S Bacci, M Gnaldi, F Bartolucci
International journal of human-computer interaction 31 (8), 484-495, 2015
Mandates: Government of Italy
LMest: An R package for latent Markov models for longitudinal categorical data
F Bartolucci, S Pandolfi, F Pennoni
Journal of Statistical Software 81, 1-38, 2017
Mandates: Government of Italy
A class of Multidimensional Latent Class IRT models for ordinal polytomous item responses
S Bacci, F Bartolucci, M Gnaldi
Communications in Statistics-Theory and Methods 43 (4), 787-800, 2014
Mandates: Government of Italy
A discrete time event‐history approach to informative drop‐out in mixed latent Markov models with covariates
F Bartolucci, A Farcomeni
Biometrics 71 (1), 80-89, 2015
Mandates: Government of Italy
Longitudinal analysis of self-reported health status by mixture latent auto-regressive models
F Bartolucci, S Bacci, F Pennoni
Journal of the Royal Statistical Society Series C: Applied Statistics 63 (2 …, 2014
Mandates: Government of Italy
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ...
Elife 12, e81916, 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Modified profile likelihood for fixed-effects panel data models
F Bartolucci, R Bellio, A Salvan, N Sartori
Econometric Reviews 35 (7), 1271-1289, 2016
Mandates: Government of Italy
Three-step estimation of latent Markov models with covariates
F Bartolucci, GE Montanari, S Pandolfi
Computational Statistics & Data Analysis 83, 287-301, 2015
Mandates: Government of Italy
A multidimensional finite mixture SEM for non-ignorable missing responses to test items
S Bacci, F Bartolucci
Structural Equation Modeling: A Multidisciplinary Journal, 2015
Mandates: Government of Italy
Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies
F Bartolucci, F Pennoni, G Vittadini
Journal of Educational and Behavioral Statistics 41 (2), 146-179, 2016
Mandates: Government of Italy
A finite mixture latent trajectory model for modeling ultrarunners’ behavior in a 24-hour race
F Bartolucci, TB Murphy
Journal of Quantitative Analysis in Sports, 2015
Mandates: Science Foundation Ireland, Government of Italy
cquad: An R and Stata package for conditional maximum likelihood estimation of dynamic binary panel data models
F Bartolucci, C Pigini
Journal of Statistical Software 78, 1-26, 2017
Mandates: Government of Italy
Dealing with reciprocity in dynamic stochastic block models
F Bartolucci, MF Marino, S Pandolfi
Computational Statistics & Data Analysis 123, 86-100, 2018
Mandates: Government of Italy
Information matrix for hidden Markov models with covariates
F Bartolucci, A Farcomeni
Statistics and Computing 25, 515-526, 2015
Mandates: Government of Italy
A generalized multiple-try version of the reversible jump algorithm
S Pandolfi, F Bartolucci, N Friel
Computational Statistics & Data Analysis 72, 298-314, 2014
Mandates: Science Foundation Ireland, Government of Italy
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