Silvia Pandolfi

According to our database, Silvia Pandolfi authored at least 13 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2022

Hybrid maximum likelihood inference for stochastic block models.

Maria Francesca Marino, Silvia Pandolfi

Comput. Stat. Data Anal., 2022

2021

A bivariate finite mixture growth model with selection.

David Aristei, Silvia Bacci, Francesco Bartolucci, Silvia Pandolfi

Adv. Data Anal. Classif., 2021

2020

An exact algorithm for time-dependent variational inference for the dynamic stochastic block model.

Francesco Bartolucci, Silvia Pandolfi

Pattern Recognit. Lett., 2020

2018

Evaluation of long-term health care services through a latent Markov model with covariates.

Giorgio Eduardo Montanari, Silvia Pandolfi

Stat. Methods Appl., 2018

Dealing with reciprocity in dynamic stochastic block models.

Francesco Bartolucci, Maria Francesca Marino, Silvia Pandolfi

Comput. Stat. Data Anal., 2018

Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation.

Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi

J. Classif., 2018

2016

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

2015

Three-step estimation of latent Markov models with covariates.

Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi

Comput. Stat. Data Anal., 2015

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

A New Constant Memory Recursion for Hidden Markov Models.

Francesco Bartolucci, Silvia Pandolfi

J. Comput. Biol., 2014

A generalized multiple-try version of the Reversible Jump algorithm.

Silvia Pandolfi, Francesco Bartolucci, Nial Friel

Comput. Stat. Data Anal., 2014

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

2010

A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection.

Silvia Pandolfi, Francesco Bartolucci, Nial Friel

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010