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Details about Roberto Rocci

Workplace:Dipartimento di Scienze Statistiche (Department of Statistics), "Sapienza" Università di Roma (Sapienza University of Rome), (more information at EDIRC)

Access statistics for papers by Roberto Rocci.

Last updated 2022-09-03. Update your information in the RePEc Author Service.

Short-id: pro254


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Working Papers

2011

  1. Principal Stratification in sample selection problems with non normal error terms
    CEIS Research Paper, Tor Vergata University, CEIS Downloads View citations (2)

2004

  1. Industry and Time Specific Deviations from Fundamental Values in a Random Coefficient Model
    CEIS Research Paper, Tor Vergata University, CEIS Downloads View citations (1)
    See also Journal Article Industry and time specific deviations from fundamental values in a random coefficient model, Annals of Finance, Springer (2007) Downloads View citations (3) (2007)

Journal Articles

2020

  1. Factor Uniqueness of the Structural Parafac Model
    Psychometrika, 2020, 85, (3), 555-574 Downloads View citations (1)
  2. Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models
    Statistical Methods & Applications, 2020, 29, (1), 49-78 Downloads

2018

  1. A data driven equivariant approach to constrained Gaussian mixture modeling
    Advances in Data Analysis and Classification, 2018, 12, (2), 235-260 Downloads View citations (2)

2017

  1. A Model-Based Approach to Simultaneous Clustering and Dimensional Reduction of Ordinal Data
    Psychometrika, 2017, 82, (4), 1007-1034 Downloads
  2. Mixture models for mixed-type data through a composite likelihood approach
    Computational Statistics & Data Analysis, 2017, 110, (C), 87-102 Downloads View citations (3)

2014

  1. Default risk analysis via a discrete‐time cure rate model
    Applied Stochastic Models in Business and Industry, 2014, 30, (5), 529-543 Downloads View citations (1)

2013

  1. Constrained Candecomp/Parafac via the Lasso
    Psychometrika, 2013, 78, (4), 669-684 Downloads View citations (1)

2011

  1. A New Dimension Reduction Method: Factor Discriminant K-means
    Journal of Classification, 2011, 28, (2), 210-226 Downloads View citations (12)
  2. Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints
    Computational Statistics & Data Analysis, 2011, 55, (4), 1715-1725 Downloads View citations (11)

2008

  1. Assessing the default risk by means of a discrete‐time survival analysis approach
    Applied Stochastic Models in Business and Industry, 2008, 24, (4), 291-306 Downloads View citations (4)
  2. Editoriale
    RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, 2008, 2008/1, (1), 5-6 Downloads
  3. Two-mode multi-partitioning
    Computational Statistics & Data Analysis, 2008, 52, (4), 1984-2003 Downloads View citations (17)

2007

  1. A mixture of mixture models for a classification problem: The unity measure error
    Computational Statistics & Data Analysis, 2007, 51, (5), 2573-2585 Downloads View citations (7)
  2. Constrained monotone EM algorithms for finite mixture of multivariate Gaussians
    Computational Statistics & Data Analysis, 2007, 51, (11), 5339-5351 Downloads View citations (31)
  3. Editoriale
    RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, 2007, 2007/3, (3), 5-6 Downloads
  4. Industry and time specific deviations from fundamental values in a random coefficient model
    Annals of Finance, 2007, 3, (2), 257-276 Downloads View citations (3)
    See also Working Paper Industry and Time Specific Deviations from Fundamental Values in a Random Coefficient Model, CEIS Research Paper (2004) Downloads View citations (1) (2004)
  5. Simultaneous Component and Clustering Models for Three-way Data: Within and Between Approaches
    Journal of Classification, 2007, 24, (1), 71-98 Downloads View citations (14)

2005

  1. Three-Mode Component Analysis with Crisp or Fuzzy Partition of Units
    Psychometrika, 2005, 70, (4), 715-736 Downloads View citations (6)

2004

  1. A general algorithm to fit constrained DEDICOM models
    Statistical Methods & Applications, 2004, 13, (2), 139-150 Downloads View citations (1)

2002

  1. Transforming three-way arrays to maximal simplicity
    Psychometrika, 2002, 67, (3), 351-365 Downloads

1997

  1. Uniqueness of three-mode factor models with sparse cores: The 3 × 3 × 3 case
    Psychometrika, 1997, 62, (3), 349-374 Downloads View citations (4)

1994

  1. A simplification of a result by zellini on the maximal rank of symmetric three-way arrays
    Psychometrika, 1994, 59, (3), 377-380 Downloads View citations (2)
 
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