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ORCIDSilvia Pandolfi
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Journal Articles
- 2024
[j14]Fulvia Pennoni
, Francesco Bartolucci, Silvia Pandolfi:
Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data. J. Classif. 41(3): 568-589 (2024)- [j13]Fulvia Pennoni, Francesco Bartolucci, Silvia Pandolfi:
Erratum to: Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data. J. Classif. 41(3): 590 (2024) - 2022
- [j12]Maria Francesca Marino, Silvia Pandolfi:
Hybrid maximum likelihood inference for stochastic block models. Comput. Stat. Data Anal. 171: 107449 (2022) - 2021
- [j11]David Aristei, Silvia Bacci, Francesco Bartolucci, Silvia Pandolfi:
A bivariate finite mixture growth model with selection. Adv. Data Anal. Classif. 15(3): 759-793 (2021) - 2020
- [j10]Francesco Bartolucci, Silvia Pandolfi:
An exact algorithm for time-dependent variational inference for the dynamic stochastic block model. Pattern Recognit. Lett. 138: 362-369 (2020) - 2018
- [j9]Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi:
Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation. J. Classif. 35(1): 172-193 (2018) - [j8]Francesco Bartolucci, Maria Francesca Marino, Silvia Pandolfi:
Dealing with reciprocity in dynamic stochastic block models. Comput. Stat. Data Anal. 123: 86-100 (2018) - [j7]Giorgio Eduardo Montanari, Silvia Pandolfi:
Evaluation of long-term health care services through a latent Markov model with covariates. Stat. Methods Appl. 27(1): 151-173 (2018) - 2016
- [j6]Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi:
Item selection by latent class-based methods: an application to nursing home evaluation. Adv. Data Anal. Classif. 10(2): 245-262 (2016) - 2015
- [j5]Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi:
Three-step estimation of latent Markov models with covariates. Comput. Stat. Data Anal. 83: 287-301 (2015) - 2014
- [j4]Silvia Bacci, Silvia Pandolfi, Fulvia Pennoni:
A comparison of some criteria for states selection in the latent Markov model for longitudinal data. Adv. Data Anal. Classif. 8(2): 125-145 (2014) - [j3]Silvia Pandolfi, Francesco Bartolucci, Nial Friel:
A generalized multiple-try version of the Reversible Jump algorithm. Comput. Stat. Data Anal. 72: 298-314 (2014) - [j2]Francesco Bartolucci, Silvia Pandolfi:
A New Constant Memory Recursion for Hidden Markov Models. J. Comput. Biol. 21(2): 99-117 (2014) - [j1]Francesco Bartolucci, Silvia Pandolfi:
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. 38: 15-19 (2014)
Conference and Workshop Papers
- 2010
- [c1]Silvia Pandolfi, Francesco Bartolucci, Nial Friel:
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. AISTATS 2010: 581-588
Coauthor Index
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