Silvia Pandolfi

发表

Dealing with reciprocity in dynamic stochastic block models

Francesco Bartolucci, Maria Francesca Marino, Silvia Pandolfi, 2018, Comput. Stat. Data Anal..

Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models

Francesco Bartolucci, Silvia Pandolfi, Giorgio E. Montanari, 2012, Psychometrika.

Robust latent class analysis through outlier detection and modelling

Francesco Bartolucci, Silvia Pandolfi, Brian Francis, 2014 .

A comparison of some estimation methods for latent Markov models with covariates

Francesco Bartolucci, Silvia Pandolfi, Giorgio E. Montanari, 2014 .

Item selection by latent class-based methods: an application to nursing home evaluation

Francesco Bartolucci, Silvia Pandolfi, Giorgio E. Montanari, 2016, Adv. Data Anal. Classif..

Generalized Latent Markov Models [R package LMest version 3.0.1]

Francesco Bartolucci, Silvia Pandolfi, F Pennoni, 2020 .

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, 2014, Pattern Recognit. Lett..

Multivariate latent Markov models with covariates for longitudinal data: Bayesian inference via Reversible Jump

Francesco Bartolucci, Silvia Pandolfi, 2010 .

Hidden Markov models for continuous multivariate data with missing responses

Francesco Bartolucci, Silvia Pandolfi, A Serafini, 2019 .

A generalized multiple-try version of the Reversible Jump algorithm

Francesco Bartolucci, Silvia Pandolfi, Nial Friel, 2014, Comput. Stat. Data Anal..

Evaluation of Nursing Homes Using an Extended Latent Markov Model

Silvia Pandolfi, Giorgio E. Montanari, 2012 .

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

Silvia Pandolfi, Giorgio E. Montanari, 2018, Stat. Methods Appl..

A comparison of some criteria for states selection in the latent Markov model for longitudinal data

Silvia Pandolfi, Silvia Bacci, F. Pennoni, 2012, Adv. Data Anal. Classif..

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

Francesco Bartolucci, Silvia Pandolfi, Nial Friel, 2010, AISTATS.

Lmest: An R package for latent Markov models for longitudinal categorical data

Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, 2017 .

Composite likelihood inference for hidden Markov models for dynamic networks

Francesco Bartolucci, Maria Francesca Marino, Silvia Pandolfi, 2015 .

Three-step estimation of latent Markov models with covariates

Francesco Bartolucci, Silvia Pandolfi, Giorgio E. Montanari, 2015, Comput. Stat. Data Anal..

Item selection by latent class-based methods: an application to nursing home evaluation

Francesco Bartolucci, Silvia Pandolfi, Giorgio E. Montanari, 2014, Advances in Data Analysis and Classification.

A New Constant Memory Recursion for Hidden Markov Models

Francesco Bartolucci, Silvia Pandolfi, F. Bartolucci, 2014, J. Comput. Biol..

LMest: Generalized Latent Markov Models for longitudinal continuous and categorical data

Francesco Bartolucci, Silvia Pandolfi, Alessio Farcomeni, 2019 .

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

Francesco Bartolucci, Silvia Pandolfi, F. Bartolucci, 2020, Pattern Recognit. Lett..

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

Francesco Bartolucci, Silvia Pandolfi, Giorgio E. Montanari, 2018, J. Classif..

A bivariate finite mixture growth model with selection

Francesco Bartolucci, Silvia Pandolfi, Silvia Bacci, 2020, Adv. Data Anal. Classif..

Maximum likelihood estimation of hidden Markov models for continuous longitudinal data with missing responses and dropout

Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, 2021, 2106.15948.

LMest: an R package for latent Markov models for categorical longitudinal data

Francesco Bartolucci, Silvia Pandolfi, Alessio Farcomeni, 2015, 1501.04448.