A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. - Silvia Pandolfi; Francesco Bartolucci; Nial Friel (AISTATS, 2010)

A comparison of some criteria for states selection in the latent Markov model for longitudinal data. - Silvia Bacci; Silvia Pandolfi; Fulvia Pennoni (Adv. Data Anal. Classif., 2014)

A generalized multiple-try version of the Reversible Jump algorithm. - Silvia Pandolfi; Francesco Bartolucci; Nial Friel (Comput. Stat. Data Anal., 2014)

A New Constant Memory Recursion for Hidden Markov Models. - Francesco Bartolucci; Silvia Pandolfi (J. Comput. Biol., 2014)

Comment on the paper "On the memory complexity of the forward-backward algorithm, " by Khreich W., Granger E., Miri A., Sabourin, R. - Francesco Bartolucci; Silvia Pandolfi (Pattern Recognit. Lett., 2014)

Three-step estimation of latent Markov models with covariates. - Francesco Bartolucci; Giorgio Eduardo Montanari; Silvia Pandolfi (Comput. Stat. Data Anal., 2015)

Item selection by latent class-based methods: an application to nursing home evaluation. - Francesco Bartolucci; Giorgio Eduardo Montanari; Silvia Pandolfi (Adv. Data Anal. Classif., 2016)

Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation. - Francesco Bartolucci; Giorgio Eduardo Montanari; Silvia Pandolfi (J. Classif., 2018)

Dealing with reciprocity in dynamic stochastic block models. - Francesco Bartolucci; Maria Francesca Marino; Silvia Pandolfi (Comput. Stat. Data Anal., 2018)

Evaluation of long-term health care services through a latent Markov model with covariates. - Giorgio Eduardo Montanari; Silvia Pandolfi (Stat. Methods Appl., 2018)

An exact algorithm for time-dependent variational inference for the dynamic stochastic block model. - Francesco Bartolucci; Silvia Pandolfi (Pattern Recognit. Lett., 2020)

A bivariate finite mixture growth model with selection. - David Aristei; Silvia Bacci; Francesco Bartolucci; Silvia Pandolfi (Adv. Data Anal. Classif., 2021)

Hybrid maximum likelihood inference for stochastic block models. - Maria Francesca Marino; Silvia Pandolfi (Comput. Stat. Data Anal., 2022)

Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data. - Fulvia Pennoni; Francesco Bartolucci; Silvia Pandolfi (J. Classif., 2024)

Erratum to: Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data. - Fulvia Pennoni; Francesco Bartolucci; Silvia Pandolfi (J. Classif., 2024)

On a class of finite mixture models that includes hidden Markov models. - Francesco Bartolucci; Silvia Pandolfi; Fulvia Pennoni (J. Multivar. Anal., 2025)

LMest: An R Package for Estimating Generalized Latent Markov Models. - Fulvia Pennoni; Silvia Pandolfi; Francesco Bartolucci (R J., 2025)