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R code implemented for the paper: Brusa, L..; Pennoni, F.; Bartolucci, F. (2024). Maximum likelihood for discrete latent variable models via evolutionary algorithms. Statistics and Computing, 34, 1-15.
2023 Brusa, L; Pennoni, F; Bartolucci, F
R code implemented for the paper: Gemma, M., Pennoni, F., Braga, M. (2021). Studying Enhanced Recovery After Surgery (ERAS©) core items in colorectal surgery: A causal model with latent variables. World Journal of Surgery, 45, 928-939.
2021 Pennoni, F
How is trust changing in institutions?
2021 Pennoni, F; Rutigliano, I
Come cambierà la fiducia nelle istituzioni?
2021 Pennoni, F; Rutigliano, I
Maximum likelihood estimation of hidden Markov models for continuous longitudinal data with missing responses and dropout
2021 Pandolfi, S; Bartolucci, F; Pennoni, F
An example of the R code employed in the paper: Longitudinal data with time-varying latent effects: an application to evaluate hospital efficiency. Quaderni di Statistica, 15, 53-68. An example of the R code employed in the paper Pennoni, F., Vittadini, G. (2013). Two competing models for ordinal l
2020 Pennoni, F
An example of the R code employed in the paper: Gemma, M., Pennoni, F., Braga, M. (2021). Studying Enhanced Recovery After Surgery (ERAS©) core items in colorectal surgery: A causal model with latent variables. World Journal of Surgery, 45, 928-939.
2020 Pennoni, F
An example of the R code employed in the paper: Pennoni, F., Genge, E. (2020). Analysing the course of public trust via hidden Markov models: A focus on the Polish society, Statistical Methods and Applications, 29, 399-425.
2020 Pennoni, F
An example of the R code employed in the paper: Bartolucci, F., Pennoni, F. (2020). Alcuni modelli per dati di conteggio con applicazione a COVID-19. In Il COVID-19 tra emergenza sanitaria ed emergenza economica: riflessioni dal mondo delle scienze sociali. Perugia, Morlacchi Editore, pp. 39-57
2020 Pennoni, F
Introduction to LMest
2020 Bartolucci, F; Pandolfi, S; Pennoni, F; Serafini, A
Heterogeneity among Fertility patterns of couples employing Natural Family Planning Methods
2019 Pennoni, F
Analysing the course of trust towards public and financial institutions via Hidden Markov Models
2019 Pennoni, F; Genge, E
Web resources for the book on Latent Markov models
2019 Pennoni, F; Bartolucci, F
LMest: Generalized Latent Markov Models for longitudinal continuous and categorical data
2019 Bartolucci, F; Pandolfi, S; Pennoni, F; Farcomeni, A; Serafini, A
Hidden Markov model
2019 Pennoni, F
A latent class analysis towards stability and changes in breadwinning patterns among coupled households
2018 Nakai, M; Pennoni, F
Inverse-probability-of-treatment weighting for endogeneity correction: A hidden Markov model for assessing effects of multiple direct mail campaigns
2018 Pennoni, F; Paas, L; Bartolucci, F
Open Day: Laurea Magistrale in Biostatistica
2018 Pennoni, F
A dynamic perspective to evaluate multiple treatments through a causal latent Markov model
2017 Pennoni, F
The influence of parental divorce, parental temporary separation and parental relationship quality on children’s school readiness
2017 Garriga, A; Pennoni, F
Parent relationship quality, family instability and children’s school readiness
2016 Garriga, A; Pennoni, F; R. o. m. e. o., I
Latent Markov and growth mixture models for ordinal individual responses with covariates: a comparison
2016 Pennoni, F; Romeo, I
Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies
2015 Bartolucci, F; Pennoni, F; Vittadini, G
LMest: an R package for latent Markov models for categorical longitudinal data
2015 Bartolucci, F; Farcomeni, A; Pandolfi, S; Pennoni, F
A note on the application of the Oakes’ identity to obtain the observed information matrix of hidden Markov models
2012 Bartolucci, F; Farcomeni, A; Pennoni, F
Legenda icone
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Opzioni
Scopri
Keyword
- Expectation-Maximization algorithm 9
- Software R 4
- expectation-maximization algorithm 3
- hidden Markov model 3
- Latent Markov model 3
- children's school readiness 2
- Forward-Backward recursions 2
- Global maximum 2
- Hidden Markov models 2
- Latent class model 2
Editore
- Monnalisa Bytes 2
- Arxiv.org 1
- https://ssrn.com/abstract=3281156 1
Lingua
- eng 25
- ita 3
Settore disciplinare
- SECS-S/01 - STATISTICA 15
Tipologia
- 99 - Altro 28
Accesso al fulltext
- no fulltext 26
- open 2