Silvia Pandolfi

17 papers A 1Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
LMest: An R Package for Estimating Generalized Latent Markov Models.
R J.
Fulvia Pennoni, Silvia Pandolfi, Francesco Bartolucci
2025 J jnl
On a class of finite mixture models that includes hidden Markov models.
J. Multivar. Anal.
Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni
2024 J jnl
Erratum to: Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data.
J. Classif.
Fulvia Pennoni, Francesco Bartolucci, Silvia Pandolfi
2024 J jnl
Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data.
J. Classif.
Fulvia Pennoni, Francesco Bartolucci, Silvia Pandolfi
2022 J jnl
Hybrid maximum likelihood inference for stochastic block models.
Comput. Stat. Data Anal.
Maria Francesca Marino, Silvia Pandolfi
2021 J jnl
A bivariate finite mixture growth model with selection.
Adv. Data Anal. Classif.
David Aristei, Silvia Bacci, Francesco Bartolucci, Silvia Pandolfi
2020 J jnl
An exact algorithm for time-dependent variational inference for the dynamic stochastic block model.
Pattern Recognit. Lett.
Francesco Bartolucci, Silvia Pandolfi
2018 J jnl
Dealing with reciprocity in dynamic stochastic block models.
Comput. Stat. Data Anal.
Francesco Bartolucci, Maria Francesca Marino, Silvia Pandolfi
2018 J jnl
Evaluation of long-term health care services through a latent Markov model with covariates.
Stat. Methods Appl.
Giorgio Eduardo Montanari, Silvia Pandolfi
2018 J jnl
Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation.
J. Classif.
Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi
2016 J jnl
Item selection by latent class-based methods: an application to nursing home evaluation.
Adv. Data Anal. Classif.
Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi
2015 J jnl
Three-step estimation of latent Markov models with covariates.
Comput. Stat. Data Anal.
Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi
2014 J jnl
A New Constant Memory Recursion for Hidden Markov Models.
J. Comput. Biol.
Francesco Bartolucci, Silvia Pandolfi
2014 J jnl
A comparison of some criteria for states selection in the latent Markov model for longitudinal data.
Adv. Data Anal. Classif.
Silvia Bacci, Silvia Pandolfi, Fulvia Pennoni
2014 J jnl
A generalized multiple-try version of the Reversible Jump algorithm.
Comput. Stat. Data Anal.
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
2014 J jnl
Comment on the paper "On the memory complexity of the forward-backward algorithm, " by Khreich W., Granger E., Miri A., Sabourin, R.
Pattern Recognit. Lett.
Francesco Bartolucci, Silvia Pandolfi
2010 A conf
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection.
AISTATS
Silvia Pandolfi, Francesco Bartolucci, Nial Friel