Latent Markov models for longitudinal data F Bartolucci, A Farcomeni, F Pennoni AMC, 2013 | 360 | 2013 |
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 | 205 | 2015 |
Statistical analysis of questionnaires: A unified approach based on R and Stata F Bartolucci, S Bacci, M Gnaldi CRC press, 2015 | 148 | 2015 |
A multivariate extension of the dynamic logit model for longitudinal data based on a latent Markov heterogeneity structure F Bartolucci, A Farcomeni Journal of the American Statistical Association 104 (486), 816-831, 2009 | 144 | 2009 |
A class of multidimensional IRT models for testing unidimensionality and clustering items F Bartolucci Psychometrika 72, 141-157, 2007 | 128 | 2007 |
Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates F Bartolucci, A Farcomeni, F Pennoni Test 23, 433-465, 2012 | 100 | 2012 |
An extended class of marginal link functions for modelling contingency tables by equality and inequality constraints F Bartolucci, R Colombi, A Forcina Statistica Sinica, 691-711, 2007 | 100 | 2007 |
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 | 89 | 2017 |
A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n‐Consistent Conditional Estimator F Bartolucci, V Nigro Econometrica 78 (2), 719-733, 2010 | 86 | 2010 |
A latent Markov model for detecting patterns of criminal activity F Bartolucci, F Pennoni, B Francis Journal of the Royal Statistical Society Series A: Statistics in Society 170 …, 2007 | 82 | 2007 |
Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities F Bartolucci Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2006 | 77 | 2006 |
Employment status and perceived health condition: longitudinal data from Italy L Minelli, C Pigini, M Chiavarini, F Bartolucci BMC public health 14, 1-12, 2014 | 72 | 2014 |
Latent Markov model for longitudinal binary data: An application to the performance evaluation of nursing homes F Bartolucci, M Lupparelli, GE Montanari The Annals of Applied Statistics, 611-636, 2009 | 71 | 2009 |
A class of latent marginal models for capture–recapture data with continuous covariates F Bartolucci, A Forcina Journal of the American Statistical Association 101 (474), 786-794, 2006 | 65 | 2006 |
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 | 64 | 2014 |
A recursive algorithm for Markov random fields F Bartolucci, J Besag Biometrika 89 (3), 724-730, 2002 | 64 | 2002 |
Efficient Bayes factor estimation from the reversible jump output F Bartolucci, L Scaccia, A Mira Biometrika 93 (1), 41-52, 2006 | 62* | 2006 |
The use of mixtures for dealing with non-normal regression errors F Bartolucci, L Scaccia Computational Statistics & Data Analysis 48 (4), 821-834, 2005 | 60 | 2005 |
Positive quadrant dependence and marginal modeling in two-way tables with ordered margins F Bartolucci, A Forcina, V Dardanoni Journal of the American Statistical Association 96 (456), 1497-1505, 2001 | 60 | 2001 |
GDP dynamics and unemployment changes in developed and developing countries F Bartolucci, MT Choudhry, E Marelli, M Signorelli Applied Economics 50 (31), 3338-3356, 2018 | 59 | 2018 |