52 results on '"Leisen, Fabrizio"'
Search Results
2. Kernel based Dirichlet sequences
3. New perspectives on knockoffs construction
4. A Probabilistic View on Predictive Constructions for Bayesian Learning
5. Species Sampling Priors for Modeling Dependence: An Application to the Detection of Chromosomal Aberrations
6. Compound vectors of subordinators and their associated positive Lévy copulas
7. A Pólya–Gamma sampler for a generalized logistic regression
8. Survival Regression Models With Dependent Bayesian Nonparametric Priors
9. Completely random measures and Lévy bases in free probability
10. On a Class of Objective Priors from Scoring Rules (with Discussion)
11. A loss‐based prior for Gaussian graphical models
12. Two‐group Poisson‐Dirichlet mixtures for multiple testing
13. On a flexible construction of a negative binomial model
14. Bayesian analysis of immigration in Europe with generalized logistic regression
15. Loss-based approach to two-piece location-scale distributions with applications to dependent data
16. Bayesian loss-based approach to change point analysis
17. Modelling Preference Data with the Wallenius Distribution
18. Modelling and Computation Using NCoRM Mixtures for Density Regression
19. Integrability conditions for compound random measures
20. Adaptive independent sticky MCMC algorithms
21. An approximate likelihood perspective on ABC methods
22. Limiting behaviour of the stationary search cost distribution driven by a generalized gamma process
23. Bayesian nonparametric estimation of survival functions with multiple-samples information
24. Bayesian Non-Parametric Conditional Copula Estimation of Twin Data
25. Objective bayesian analysis of the Yule–Simon distribution with applications
26. Bayesian Nonparametric Conditional Copula Estimation of Twin Data
27. A Note on the Posterior Inference for the Yule-Simon Distribution
28. Objective Bayesian modelling of insurance risks with the skewed Student-tdistribution
29. A note on the posterior inference for the Yule–Simon distribution
30. A Bootstrap Likelihood Approach to Bayesian Computation
31. Compound Random Measures and their Use in Bayesian Non-Parametrics
32. Embarrassingly parallel sequential Markov-chain Monte Carlo for large sets of time series
33. A Bayesian Beta Markov Random Field Calibration of the Term Structure of Implied Risk Neutral Densities
34. Merging Exchangeable Occupancy Distributions: The Family 𝓜 ( a ) $\mathcal {M}^{(a)}$ and its Connection with the Maximum Entropy Principle
35. A multivariate extension of a vector of two-parameter Poisson–Dirichlet processes
36. Generalized Species Sampling Priors With Latent Beta Reinforcements
37. Beta-product dependent Pitman–Yor processes for Bayesian inference
38. A Bayesian Beta Markov Random Field Calibration of the Term Structure of Implied Risk Neutral Densities
39. EXCHANGEABLE OCCUPANCY MODELS AND DISCRETE PROCESSES WITH THE GENERALIZED UNIFORM ORDER STATISTICS PROPERTY
40. Beta-Product Dependent Pitman-Yor Processes for Bayesian Inference
41. Adaptive Sticky Generalized Metropolis
42. A vector of Dirichlet processes
43. Bayesian Model Selection for Beta Autoregressive Processes
44. Interacting multiple try algorithms with different proposal distributions
45. Limiting behavior of the search cost distribution for the move-to-front rule in the stable case
46. Vectors of two-parameter Poisson–Dirichlet processes
47. A note on variance bounding for continuous time Markov Chains
48. Conditionally identically distributed species sampling sequences
49. Conditionally identically distributed species sampling sequences
50. A New Multinomial Model and a Zero Variance Estimation
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