Francesco Bartolucci

发表

Dealing with reciprocity in dynamic stochastic block models

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

Composite Likelihood Inference in a Discrete Latent Variable Model for Two-Way “Clustering-by-Segmentation” Problems

Francesco Bartolucci, Francesca Chiaromonte, Prabhani Kuruppumullage Don, 2015, 1506.08278.

A multilevel latent Markov model for the evaluation of nursing homes' performance

Francesco Bartolucci, Marco Doretti, Giorgio E Montanari, 2018, Biometrical journal. Biometrische Zeitschrift.

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

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

Information matrix for hidden Markov models with covariates

Francesco Bartolucci, Alessio Farcomeni, 2015, Stat. Comput..

Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data

Francesco Bartolucci, Silvia Bacci, F. Bartolucci, 2012, Comput. Stat. Data Anal..

Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market

Francesco Bartolucci, Stefano Peluso, Antonietta Mira, 2020, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data

Francesco Bartolucci, Luisa Scaccia, Alessio Farcomeni, 2012, Comput. Stat. Data Anal..

Impact Evaluation of Job Training Programs by a Latent Variable Model

Francesco Bartolucci, Fulvia Pennoni, 2011 .

Robust latent class analysis through outlier detection and modelling

Francesco Bartolucci, Silvia Pandolfi, Brian Francis, 2014 .

An alternative to the Baum-Welch recursions for hidden Markov models

Francesco Bartolucci, 2011 .

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

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

Study of the eect of the university degree on the work path by a latent Markov model

Francesco Bartolucci, 2014 .

Bayesian latent class models with application to credit-scoring and capture-recapture data

Francesco Bartolucci, Luisa Scaccia, Antonietta Mira, 2003 .

Latent Markov model for longitudinal binary data: An application to the performance evaluation of nursing homes

Francesco Bartolucci, Giorgio E. Montanari, Monia Lupparelli, 2009, 0908.2300.

A comparison between the g‐index and the h‐index based on concentration

Francesco Bartolucci, 2015, J. Assoc. Inf. Sci. Technol..

Multidimensional Latent Markov Models in a Developmental Study of Inhibitory Control and Attentional Flexibility in Early Childhood

Francesco Bartolucci, Ivonne L. Solis-Trapala, F. Bartolucci, 2008, 0901.0024.

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..

A latent Markov model from a new perspective with an application

Francesco Bartolucci, Giorgio Vittadini, Fulvia Pennoni, 2015 .

Generalized Latent Markov Models [R package LMest version 3.0.1]

Francesco Bartolucci, Silvia Pandolfi, F Pennoni, 2020 .

Assessment of School Performance Through a Multilevel Latent Markov Rasch Model

Francesco Bartolucci, Giorgio Vittadini, Fulvia Pennoni, 2009, 0909.4961.

Inverse-probability-of-treatment weighting for endogeneity correction: A hidden Markov model for assessing effects of multiple direct mail campaigns

Francesco Bartolucci, F Pennoni, Leonard J. Paas, 2018 .

Transition in criminal careers: a hidden Markov approach

Francesco Bartolucci, Fulvia Pennoni, 2004 .

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..

Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data

Francesco Bartolucci, Franco Peracchi, Federico Belotti, 2015 .

MultiLCIRT: An R package for multidimensional latent class item response models

Francesco Bartolucci, Silvia Bacci, Michela Gnaldi, 2012, Comput. Stat. Data Anal..

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 .

An overview of the latent Markov models for longitudinal data

Francesco Bartolucci, Alessio Farcomeni, F Pennoni, 2010 .

A generalized multiple-try version of the Reversible Jump algorithm

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

Decomposition of the h-index pdf

Francesco Bartolucci, 2012, ArXiv.

Latent variable models for the analysis of socio-economic data

Francesco Bartolucci, Marco Alfó, F. Bartolucci, 2015 .

Causality patterns of a marketing campaign conducted over time: evidence from the latent Markov model

Francesco Bartolucci, Leonard J. Paas, F Pennoni, 2018 .

Bayesian inference for Latent Class model via MCMC with application to capture-recapture data

Francesco Bartolucci, Luisa Scaccia, Mira Antonietta, 2003 .

Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates

Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni, 2014 .

Latent variable models for evaluation systems

Francesco Bartolucci, Giorgio Vittadini, Fulvia Pennoni, 2019 .

Web resources for the book on Latent Markov models

Francesco Bartolucci, F Pennoni, 2019 .

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

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

Statistical assessment of public health care services: a multilevel Markov model

Francesco Bartolucci, Giorgio E. Montanari, Marco Doretti, 2017 .

On a possible decomposition of the h-index

Francesco Bartolucci, 2012, J. Assoc. Inf. Sci. Technol..

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

Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, 2017 .

A Class of Latent Marginal Models for Capture–Recapture Data With Continuous Covariates

Francesco Bartolucci, Antonio Forcina, F. Bartolucci, 2006 .

An investigation in the delayed rejection strategy in the capture-recapture context

Francesco Bartolucci, Luisa Scaccia, Antonietta Mira, 2003 .

Maximum Likelihood Estimation of an Extended Latent Markov Model for Clustered Binary Panel Data

Francesco Bartolucci, Valentina Nigro, F. Bartolucci, 2007, Comput. Stat. Data Anal..

Latent Markov models from a potential outcome prospective for causal inference in dynamic settings

Francesco Bartolucci, Giorgio Vittadini, Fulvia Pennoni, 2011 .

A finite mixture IRT model for ordinal responses with nonignorable missingness

Francesco Bartolucci, Carla Rampichini, Silvia Bacci, 2015 .

Optimal model-based clustering with multilevel data

Francesco Bartolucci, Silvia Bacci, Fulvia Pennoni, 2017 .

Causal analysis of the relation between epigenetic pathways and air pollution based on the joint use of mixed latent Markov models and the propensity score method

Francesco Bartolucci, Fulvia Pennoni, A Baccarelli, 2015 .

cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models

Francesco Bartolucci, Claudia Pigini, F. Bartolucci, 2017 .

Composite likelihood inference for hidden Markov models for dynamic networks

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

Likelihood inference for the latent Markov Rasch model

Francesco Bartolucci, Fulvia Pennoni, Monia Lupparelli, 2010 .

Modelling behavioral response in capture-recapture studies through latent Markov chains

Francesco Bartolucci, Fulvia Pennoni, F. Bartolucci, 2005 .

Focused Information Criterion for Capture–Recapture Models for Closed Populations

Francesco Bartolucci, Monia Lupparelli, F. Bartolucci, 2008 .

A latent Markov model for detecting patterns of criminal activity

Francesco Bartolucci, Brian Francis, Fulvia Pennoni, 2007 .

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 multilevel finite mixture item response model to cluster examinees and schools

Francesco Bartolucci, Silvia Bacci, Michela Gnaldi, 2014, Adv. Data Anal. Classif..

A New Constant Memory Recursion for Hidden Markov Models

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

Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates

Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni, 2014 .

Likelihood-based inference for asymmetric stochastic volatility models

Francesco Bartolucci, Giovanni De Luca, 2003, Comput. Stat. Data Anal..

Two-Tier Latent Class IRT Models in R

Francesco Bartolucci, Silvia Bacci, F. Bartolucci, 2016, R J..

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

Francesco Bartolucci, Silvia Pandolfi, Alessio Farcomeni, 2019 .

A joint model for longitudinal and survival data based on a continuous-time hidden Markov model

Francesco Bartolucci, Alessio Farcomeni, 2018 .

Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures

Francesco Bartolucci, 2005, J. Classif..

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

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

Markov-switching autoregressive latent variable models for longitudinal data

Francesco Bartolucci, Silvia Bacci, Fulvia Pennoni, 2010 .

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

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

The use of mixtures for dealing with non-normal regression errors

Francesco Bartolucci, Luisa Scaccia, F. Bartolucci, 2004, Comput. Stat. Data Anal..

Estimation of Stochastic Volatility Models

Francesco Bartolucci, Giovanni De Luca, F. Bartolucci, 2002 .

Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence

Francesco Bartolucci, F Pennoni, F Pennoni, 2019, Stat. Methods Appl..

Latent Markov Models for Longitudinal Data

Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni, 2012 .

Assessing User Satisfaction in the Era of User Experience: Comparison of the SUS, UMUX, and UMUX-LITE as a Function of Product Experience

Stefano Federici, Francesco Bartolucci, Simone Borsci, 2015, Int. J. Hum. Comput. Interact..

Testing for positive association in contingency tables with fixed margins

Francesco Bartolucci, Luisa Scaccia, 2004, Comput. Stat. Data Anal..

Analysis of longitudinal data via latent Markov model and its extensions

Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni, 2009 .

A Class of Multidimensional Latent Class IRT Models for Ordinal Polytomous Item Responses

Francesco Bartolucci, Silvia Bacci, Michela Gnaldi, 2012, 1201.4667.

Pseudo conditional likelihood inference for repeated binary outcomes in two-arm experimental studies with non-compliance

Francesco Bartolucci, F. Bartolucci, 2007 .

A shared‐parameter continuous‐time hidden Markov and survival model for longitudinal data with informative dropout

Francesco Bartolucci, Alessio Farcomeni, A. Farcomeni, 2018, Statistics in medicine.

A Hierarchical Mixture Model for Gene Expression Data

Francesco Bartolucci, Luisa Scaccia, 2005 .

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.

Reflections on Murray Aitkin's contributions to nonparametric mixture models and Bayes factors

Francesco Bartolucci, Alan Agresti, Antonietta Mira, 2021 .

Estimating the size of a closed population by modeling latent and observed heterogeneity

Francesco Bartolucci, Antonio Forcina, F. Bartolucci, 2021, 2106.03811.

Conditional inference for binary panel data models with predetermined covariates

Francesco Bartolucci, Claudia Pigini, F. Bartolucci, 2021, Econometrics and Statistics.

A discrete time event‐history approach to informative drop‐out in mixed latent Markov models with covariates

Francesco Bartolucci, Alessio Farcomeni, A. Farcomeni, 2015, Biometrics.

Maximum likelihood estimation of a latent variable time‐series model

Francesco Bartolucci, Giovanni De Luca, 2001 .

Modeling Partial Compliance Through Copulas in a Principal Stratification Framework

Francesco Bartolucci, Leonardo Grilli, F. Bartolucci, 2011 .

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

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

A finite mixture latent trajectory model for modeling ultrarunners’ behavior in a 24-hour race

Francesco Bartolucci, Thomas Brendan Murphy, F. Bartolucci, 2015 .

On estimating the variance of the systematic sample mean

Francesco Bartolucci, Giorgio E. Montanari, F. Bartolucci, 1998 .

Longitudinal analysis of self‐reported health status by mixture latent auto‐regressive models

Francesco Bartolucci, Silvia Bacci, Fulvia Pennoni, 2014 .

Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data

Francesco Bartolucci, Monia Lupparelli, F. Bartolucci, 2016 .

Modelling quality of life variables with non-parametric mixtures

Francesco Bartolucci, Antonio Forcina, 2004 .

Likelihood inference on the underlying structure of IRT models

Francesco Bartolucci, Antonio Forcina, F. Bartolucci, 2005 .

Pseudo Conditional Maximum Likelihood Estimation of the Dynamic Logit Model for Binary Panel Data

Francesco Bartolucci, Valentina Nigro, F. Bartolucci, 2009 .

A recursive algorithm for Markov random fields

Francesco Bartolucci, Julian Besag, J. Besag, 2002 .

A misspecification test for finite-mixture logistic models for clustered binary and ordered responses

Francesco Bartolucci, Silvia Bacci, Claudia Pigini, 2015 .

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata

Francesco Bartolucci, Silvia Bacci, Michela Gnaldi, 2015 .

A Class of Latent Markov Models for Capture–Recapture Data Allowing for Time, Heterogeneity, and Behavior Effects

Francesco Bartolucci, Fulvia Pennoni, F. Bartolucci, 2007, Biometrics.

On the approximation of the quadratic exponential distribution in a latent variable context

Francesco Bartolucci, Fulvia Pennoni, F. Bartolucci, 2007 .

An extended class of marginal link functions for modelling contingency tables by equality and inequality constraints

Francesco Bartolucci, Antonio Forcina, Roberto Colombi, 2007 .

Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model

Francesco Bartolucci, Claudia Pigini, Valentina Nigro, 2013 .

Extended RC Association Models Allowing for Order Restrictions and Marginal Modeling

Francesco Bartolucci, Antonio Forcina, F. Bartolucci, 2002 .

A Multidimensional Latent Class IRT Model for Non-Ignorable Missing Responses

Francesco Bartolucci, Silvia Bacci, F. Bartolucci, 2013, 1410.4856.

Misspecification test for random effects in generalized linear finite-mixture models for clustered binary and ordered data ☆

Francesco Bartolucci, Silvia Bacci, Claudia Pigini, 2017 .

A Multidimensional Finite Mixture Structural Equation Model for Nonignorable Missing Responses to Test Items

Francesco Bartolucci, Silvia Bacci, F. Bartolucci, 2015 .

Answering Two Biological Questions with a Latent Class Model via MCMC Applied to Capture-Recapture Data

Francesco Bartolucci, Luisa Scaccia, Antonietta Mira, 2004 .

A multidimensional latent class Rasch model for the assessment of the Health-related Quality of Life

Francesco Bartolucci, Silvia Bacci, F. Bartolucci, 2012, 1211.2635.

A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n‐Consistent Conditional Estimator

Francesco Bartolucci, Valentina Nigro, F. Bartolucci, 2007 .

Modified Profile Likelihood for Fixed-Effects Panel Data Models

Alessandra Salvan, Francesco Bartolucci, Nicola Sartori, 2016 .

Efficient estimate of Bayes factors from Reversible Jump output

Francesco Bartolucci, Mira Antonietta, 2003 .

A new class of unbiased estimators of the variance of the systematic sample mean

Francesco Bartolucci, Giorgio E. Montanari, F. Bartolucci, 2006 .

A class of multidimensional IRT models for testing unidimensionality and clustering items

Francesco Bartolucci, F. Bartolucci, 2007 .

Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies

Francesco Bartolucci, Giorgio Vittadini, Fulvia Pennoni, 2016 .

Positive Quadrant Dependence and Marginal Modeling in Two-Way Tables With Ordered Margins

Francesco Bartolucci, Antonio Forcina, Valentino Dardanoni, 2001 .