85 results on '"Ranalli, Monia"'
Search Results
2. Chorio-retinal vessel density in women affected by functional hypothalamic amenorrhea: a monocentric observational cross-sectional study to evaluate the impact of hypoestrogenism on chorio-retinal vascularization
3. Composite likelihood methods for parsimonious model-based clustering of mixed-type data
4. Clustering Ordinal Data Via Parsimonious Models
5. Circulating irisin levels in functional hypothalamic amenorrhea: a new bone damage index? A pilot study
6. A Comparison Between Methods to Cluster Mixed-Type Data: Gaussian Mixtures Versus Gower Distance
7. A pairwise likelihood approach to simultaneous clustering and dimensional reduction of ordinal data
8. Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models
9. A CLASSICAL INVARIANCE APPROACH TO THE NORMAL MIXTURE PROBLEM
10. Functional hypothalamic amenorrhea: gut microbiota composition and the effects of exogenous estrogen administration
11. An Overview on the URV Model-Based Approach to Cluster Mixed-Type Data
12. A Comparison Between Methods to Cluster Mixed-Type Data: Gaussian Mixtures Versus Gower Distance
13. Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach
14. Functional hypothalamic amenorrhea: gut microbiota composition and the effects of exogenous estrogen administration.
15. Mixture models for mixed-type data through a composite likelihood approach
16. Standard and Novel Model Selection Model selection Selection model Criteria in the Pairwise Likelihood Pairwise likelihood Estimation of a Mixture Model for Ordinal Data
17. Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches
18. An Overview on the URV Model-Based Approach to Cluster Mixed-Type Data
19. Composite likelihood methods for parsimonious model-based clustering of mixed-type data
20. A Model-Based Approach to Simultaneous Clustering and Dimensional Reduction of Ordinal Data
21. Mixture models for ordinal data: a pairwise likelihood approach
22. Standard and Novel Model Selection Criteria in the Pairwise Likelihood Estimation of a Mixture Model for Ordinal Data
23. The Role of IONM in Reducing the Occurrence of Shoulder Syndrome Following Lateral Neck Dissection for Thyroid Cancer
24. Mixture of factor analyzers for mixed-type data via a composite likelihood approach
25. Semi-constrained model-based clustering of mixed-type data using a composite likelihood approach
26. Health and development: evidence from non-OECD countries
27. Health and economic development: evidence from non-OECD countries
28. Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models
29. A model with space‐varying regression coefficients for clustering multivariate spatial count data
30. Model-based approach to biclustering ordinal data
31. Biclustering ordinal data through a model-based approach
32. COMPOSITE LIKELIHOOD INFERENCE FOR SIMULTANEOUS CLUSTERING AND DIMENSIONALITY REDUCTION OF MIXED-TYPE LONGITUDINAL DATA
33. Autoregressive random effects models for circular longitudinal data using the embedding approach
34. New perspectives on likelihood-based inference for latent and observed Gaussian mixture models
35. A statistical framework for measuring reproducibility and replicability of high-throughput experiments from multiple sources
36. Simultaneous clustering and dimensional reduction of mixed-type data
37. Hidden Markov random fields for the spatial segmentation of circular data
38. A multilevel hidden Markov model for space-time cylindrical data
39. Health and Development
40. A circular nonhomogeneous hidden Markov field for the spatial segmentation of wildfire occurrences
41. A Hidden Markov Approach To the Analysis of Cylindrical Space-time Series
42. A classical invariance approach to the normal mixture problem
43. Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach
44. Discussion on 'Analysis of Forensic DNA Mixtures with Artefact'
45. Simulated Likelihood for Heteroscedastic Gaussian Mixture Models
46. Recent Developments in Approximated-Likelihood Inference Methods for Latent Variable Models
47. Mixture models for ordinal data: a pairwise likelihood approach
48. Standard and Novel Model Selection Criteria in the Pairwise Likelihood Estimation of a Mixture Model for Ordinal Data.
49. A circular nonhomogeneous hidden Markov field for the spatial segmentation of wildfire occurrences.
50. A model with space‐varying regression coefficients for clustering multivariate spatial count data
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