EconPapers    
Economics at your fingertips  
 

Details about Silvia Pandolfi

Workplace:Dipartimento di Economia (Department of Economics), Università degli Studi di Perugia (University of Perugia), (more information at EDIRC)

Access statistics for papers by Silvia Pandolfi.

Last updated 2024-08-19. Update your information in the RePEc Author Service.

Short-id: ppa843


Jump to Journal Articles

Working Papers

2015

  1. A joint model for longitudinal and survival data based on an AR(1) latent process
    Working papers of the Department of Economics - University of Perugia (IT), Università di Perugia, Dipartimento Economia Downloads
  2. Composite likelihood inference for hidden Markov models for dynamic networks
    MPRA Paper, University Library of Munich, Germany Downloads

2012

  1. Item selection by an extended Latent Class model: An application to nursing homes evaluation
    MPRA Paper, University Library of Munich, Germany Downloads View citations (3)

Journal Articles

2022

  1. Hybrid maximum likelihood inference for stochastic block models
    Computational Statistics & Data Analysis, 2022, 171, (C) Downloads View citations (1)

2021

  1. A bivariate finite mixture growth model with selection
    Advances in Data Analysis and Classification, 2021, 15, (3), 759-793 Downloads View citations (1)

2018

  1. Dealing with reciprocity in dynamic stochastic block models
    Computational Statistics & Data Analysis, 2018, 123, (C), 86-100 Downloads View citations (3)
  2. Evaluation of long-term health care services through a latent Markov model with covariates
    Statistical Methods & Applications, 2018, 27, (1), 151-173 Downloads View citations (4)
  3. Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation
    Journal of Classification, 2018, 35, (1), 172-193 Downloads View citations (3)

2016

  1. Item selection by latent class-based methods: an application to nursing home evaluation
    Advances in Data Analysis and Classification, 2016, 10, (2), 245-262 Downloads View citations (1)

2015

  1. Three-step estimation of latent Markov models with covariates
    Computational Statistics & Data Analysis, 2015, 83, (C), 287-301 Downloads View citations (7)

2014

  1. A comparison of some criteria for states selection in the latent Markov model for longitudinal data
    Advances in Data Analysis and Classification, 2014, 8, (2), 125-145 Downloads View citations (23)
  2. A generalized multiple-try version of the Reversible Jump algorithm
    Computational Statistics & Data Analysis, 2014, 72, (C), 298-314 Downloads View citations (2)

2012

  1. Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models
    Psychometrika, 2012, 77, (4), 782-802 Downloads View citations (7)
 
Page updated 2025-03-22