All Stories

  1. Power Fuzzy Clustering: Flexible Distance Metrics and Inclusion of Covariates
  2. Model-based clustering via parsimonious mixtures of dimension-wise scaled normal mixtures
  3. Clustering data with values missing at random using scale mixtures of multivariate skew-normal distributions
  4. Skew Dimension-Wise Scaled Mixtures of Normal Distributions and Their Applications in Model-Based Clustering
  5. Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model
  6. Designing unsupervised mixed‐type feature selection techniques using the heterogeneous correlation matrix
  7. Using Matrix-Variate Hidden Markov Regressions for Analyzing Crime Data
  8. Heckman selection-contaminated normal model
  9. Handling skewness and directional tails in model-based clustering
  10. Discrete mode-mixtures of unimodal positive distributions with an application to solar energy in South Africa
  11. LRDP: an R package implementing a new class of decompositions for orthogonal matrices
  12. Finite mixtures of multivariate skew tail-inflated normal distributions
  13. An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data
  14. On the Number of Components for Matrix‐Variate Mixtures: A Comparison Among Information Criteria
  15. Hidden semi-Markov models for rainfall-related insurance claims
  16. A refreshing take on the inverted Dirichlet via a mode parameterization with some statistical illustrations
  17. Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns
  18. A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together
  19. Mode mixture of unimodal distributions for insurance loss data
  20. Women and insurance pricing policies: a gender-based analysis with GAMLSS on two actuarial datasets
  21. The generalized hyperbolic family and automatic model selection through the multiple‐choiceLASSO
  22. Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions
  23. Parsimonious mixtures for the analysis of tensor-variate data
  24. Model-based clustering using a new multivariate skew distribution
  25. Matrix-Variate Hidden Markov Regression Models: Fixed and Random Covariates
  26. On stylized facts of cryptocurrencies returns and their relationship with other assets, with a focus on the impact of COVID-19
  27. Model-based clustering via skewed matrix-variate cluster-weighted models
  28. Parsimonious hidden Markov models for matrix-variate longitudinal data
  29. Dimension-wise scaled normal mixtures with application to finance and biometry
  30. Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models
  31. Mixtures of Matrix-Variate Contaminated Normal Distributions
  32. Multiple scaled symmetric distributions in allometric studies
  33. Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies
  34. Two new matrix-variate distributions with application in model-based clustering
  35. Unconstrained representation of orthogonal matrices with application to common principal components
  36. The multivariate tail-inflated normal distribution and its application in finance
  37. Dichotomous unimodal compound models: application to the distribution of insurance losses
  38. Leptokurtic moment-parameterized elliptically contoured distributions with application to financial stock returns
  39. Robust model-based clustering with mild and gross outliers
  40. Multivariate hidden Markov regression models: random covariates and heavy-tailed distributions
  41. High-dimensional unsupervised classification via parsimonious contaminated mixtures
  42. A Random-covariate Approach for Distal Outcome Prediction with Latent Class Analysis
  43. Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition
  44. A new look at the inverse Gaussian distribution with applications to insurance and economic data
  45. Multivariate generalized hidden Markov regression models with random covariates: Physical exercise in an elderly population
  46. On the Use of the Sub-Gaussian $$\alpha $$α-Stable Distribution in the Cluster-Weighted Model
  47. Fitting insurance and economic data with outliers: a flexible approach based on finite mixtures of contaminated gamma distributions
  48. Mixtures of multivariate contaminated normal regression models
  49. Compound unimodal distributions for insurance losses
  50. Dealing with omitted answers in a survey on social integration of immigrants in Italy
  51. Testing for serial independence
  52. The multivariate leptokurtic-normal distribution and its application in model-based clustering
  53. A diagram to detect serial dependencies: an application to transport time series
  54. Clustering Multivariate Longitudinal Observations: The Contaminated Gaussian Hidden Markov Model
  55. Multilevel cluster-weighted models for the evaluation of hospitals
  56. Parsimonious mixtures of multivariate contaminated normal distributions
  57. Spatial attraction in migrants' settlement patterns in the city of Catania
  58. Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers
  59. Decision boundaries for mixtures of regressions
  60. The Kullback–Leibler autodependogram
  61. Hypothesis Testing for Mixture Model Selection
  62. A time-dependent extension of the projected normal regression model for longitudinal circular data based on a hidden Markov heterogeneity structure
  63. Clustering bivariate mixed-type data via the cluster-weighted model
  64. Erratum to: The Generalized Linear Mixed Cluster-Weighted Model
  65. The Generalized Linear Mixed Cluster-Weighted Model
  66. Cluster-weighted $$t$$ t -factor analyzers for robust model-based clustering and dimension reduction
  67. SDD : An R Package for Serial Dependence Diagrams
  68. Parsimonious Generalized Linear Gaussian Cluster-Weighted Models
  69. Bivariate discrete beta Kernel graduation of mortality data
  70. On the Upward Bias of the Dissimilarity Index and Its Corrections
  71. Flexible mixture modelling with the polynomial Gaussian cluster-weighted model
  72. Model-based clustering via linear cluster-weighted models
  73. Refusal to Answer Specific Questions in a Survey: A Case Study
  74. KernSmoothIRT : An R Package for Kernel Smoothing in Item Response Theory
  75. DBKGrad : An R Package for Mortality Rates Graduation by Discrete Beta Kernel Techniques
  76. Estimating a Rasch Model via Fuzzy Empirical Probability Functions
  77. On the Spectral Decomposition in Normal Discriminant Analysis
  78. Closed Likelihood Ratio Testing Procedures to Assess Similarity of Covariance Matrices
  79. Clustering and classification via cluster-weighted factor analyzers
  80. Testing Serial Independence via Density-Based Measures of Divergence
  81. Detecting serial dependencies with the reproducibility probability autodependogram
  82. Using the Autodependogram in Model Diagnostic Checking
  83. Using the Variation Coefficient for Adaptive Discrete Beta Kernel Graduation
  84. Finite mixtures of unimodal beta and gamma densities and the $$k$$ -bumps algorithm
  85. Graduation by Adaptive Discrete Beta Kernels
  86. Checking Serial Independence of Residuals from a Nonlinear Model
  87. The autodependogram: a graphical device to investigate serial dependences
  88. Discrete approximations of continuous and mixed measures on a compact interval
  89. Assessing the pattern of covariance matrices via an augmentation multiple testing procedure
  90. Discrete Beta Kernel Graduation of Age-Specific Demographic Indicators
  91. Discrete Beta-Type Models
  92. Considerations on the Impact of Ill-Conditioned Configurations in the CML Approach