Technical Reports

Francesco Bartolucci

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1. Minelli, L., Pigini, C., Chiavarini, M. & Bartolucci, F. (2014), Employment status and perceived health condition: longitudinal data from Italy, http://ideas.repec.org/p/pra/mprapa/55788.html

2. Bartolucci, F., Montanari, G. E. and Pandolfi, S. (2014), Three-step estimation of latent Markov models with covariates, http://arxiv.org/pdf/1402.1033v1.pdf

3. Bartolucci, F., Nigro, V. and Pgini, C. (2013), Testing for state dependence in binary panel data with individual covariates, http://mpra.ub.uni-muenchen.de/48233/

4. Cagnone, S. and Bartolucci, F. (2013): Adaptive quadrature for likelihood inference on dynamic latent variable models for time-series and panel data, http://mpra.ub.uni-muenchen.de/51037/.

5. Bartolucci, F. and Farcomeni, A. (2013), A discrete time event-history approach to informative drop-out in multivariate latent Markov models with covariates, http://arxiv.org/abs/1306.1678

6. Bacci, S. and Bartolucci, F. (2013), A multidimensional latent class IRT model for non-ignorable missing responses, http://ssrn.com/abstract=2213721

7. Gnaldi, M., Bartolucci, F. and Bacci, S. (2012), Joint Assessment of the Differential Item Functioning and Latent Trait Dimensionality of Students' National Tests, http://arxiv.org/abs/1212.0378

8. Bartolucci, F. and Farcomeni, A. (2012), Causal inference in paired two-arm experimental studies under non-compliance with application to prognosis of myocardial infarction, http://arxiv.org/abs/1210.6678

9. Bartolucci, F., Bacci, S.and Gnaldi, M. (2012), MultiLCIRT: An R package for multidimensional latent class item response models, http://arxiv.org/abs/1210.5267

10. Bartoucci, F., Montanari, G. E. and Pandolfi, S. (2012), Item Selection by an Extended Latent Class Model: An Application to Nursing Homes Evaluation, http://ssrn.com/abstract=2040719

11. Bacci, S., Bartoucci, F. and Pieroni, L. (2012), A Causal Analysis of Motherís Education on Birth Inequalities, http://ssrn.com/abstract=2017489, http://arxiv.org/abs/1212.0372, http://mpra.ub.uni-muenchen.de/38754/

12. Bartolucci, F., Bellio, R., Salvan, A. and Sartori, N. (2012), Modified Profile Likelihood for Panel Data Models, http://ssrn.com/abstract=2000666

13. Bacci, S., Bartolucci, F. and Gnaldi, M. (2012), A class of Multidimensional Latent Class IRT models for ordinal polytomous item responses, http://arxiv.org/abs/1201.4667

14. Bartolucci, F., Farcomeni, A. and Pennoni, F. (2012), "Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates," MPRA Paper 39023

15. Bartolucci, F., Bacci, S., and Pennoni, F. (2011), Mixture latent autoregressive models for longitudinal data, http://arXiv:1108.1498v1

16. Bartolucci, F. and Pandolfi, S. (2010), Bayesian inference for a class of latent Markov models for categorical longitudinal data, http://arxiv.org/PS_cache/arxiv/pdf/1101/1101.0391v2.pdf

17. Bartolucci, F., d'Agostino, G. and Montanari, G. E. (2010), An investigation of the discriminant power and dimensionality of items used for assessing health condition of elderly people, http://arxiv.org/abs/1008.3268

18. Pandolfi, S., Bartolucci, F. and Friel, N. (2010), A generalized Multiple-try Metropolis version of the Reversible Jump algorithm, http://arxiv.org/abs/1006.0621.

19. Bartolucci, F., Farcomeni, A. and Pennoni, F. (2010), An overview of latent Markov models for longitudinal categorical data, http://arxiv.org/abs/1003.2804.