All Stories

  1. Segmentation of mortality surfaces by hidden Markov models
  2. A circular nonhomogeneous hidden Markov field for the spatial segmentation of wildfire occurrences
  3. Hidden Markov models for identify sea regimes
  4. Handling endogeneity and nonnegativity in correlated random effects models: Evidence from ambulatory expenditure
  5. Multilevel multivariate modelling of legislative count data, with a hidden Markov chain
  6. A hidden Markov approach to the analysis of space–time environmental data with linear and circular components
  7. Latent time-varying factors in longitudinal analysis: a linear mixed hidden Markov model for heart rates
  8. Maximum likelihood estimation of bivariate circular hidden Markov models from incomplete data
  9. Model-Based Classification of Clustered Binary Data with Non-ignorable Missing Values
  10. A Gaussian–Von Mises Hidden Markov Model for Clustering Multivariate Linear-Circular Data
  11. Classification of Multivariate Linear-Circular Data with Nonignorable Missing Values
  12. A Multivariate Hidden Markov Model for the Identification of Sea Regimes from Incomplete Skewed and Circular Time Series
  13. Model-based clustering of multivariate skew data with circular components and missing values
  14. A Non-Homogeneous Hidden Markov Model for the Analysis of Multi-Pollutant Exceedances Data
  15. Allopathic versus Homeopathic Strategies and the Recurrence of Prescriptions: Results from a Pharmacoeconomic Study in Italy
  16. Model Selection in Markov Random Fields for High Spatial Resolution Hyperspectral Data
  17. A missing composite covariate in survival analysis: A case study of the Chinese Longitudinal Health and Longevity Survey
  18. Plasticity of death rates in stationary phase inSaccharomyces cerevisiae
  19. Hidden Markov random field models for TCA image analysis
  20. The political legislation cycle
  21. A nonlinear principal component analysis of the relationship between budget rules and fiscal performance in the European Union
  22. Symmetrically Dividing Cells of the Fission Yeast Schizosaccharomyces Pombe Do Age
  23. Selection of the neighborhood structure for space-time Markov random field models
  24. Adjacency selection in Markov Random Fields for high spatial resolution hyperspectral data
  25. On the quality of likelihood-based estimators in spatial autoregressive models when the data dependence structure is misspecified