| Nome |
# |
|
Bayesian model comparison based on Wasserstein distances, file e31e10d4-2549-31fb-e053-1705fe0a5b99
|
248
|
|
Survival analysis via hierarchically dependent mixture hazards, file e31e10d4-5c4a-31fb-e053-1705fe0a5b99
|
165
|
|
Latent nested nonparametric priors (with discussion), file e31e10d3-ca6b-31fb-e053-1705fe0a5b99
|
67
|
|
Invited discussion to "Giordano, R., Liu, R., Jordan, M.I., Broderick, T. Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (with Discussion). Bayesian Analysis. 2023;18(1):287", file 9e759945-46de-4401-92e3-965f61dd9e81
|
52
|
|
Approximation of Bayesian models for time-to-event data, file e31e10d4-2544-31fb-e053-1705fe0a5b99
|
39
|
|
Posterior asymptotics for boosted Hierarchical Dirichlet Process mixtures, file 39050c25-6f4f-4488-bc05-d92e5896d8f9
|
30
|
|
Stochastic approximations to the Pitman-Yor process, file e31e10d3-c748-31fb-e053-1705fe0a5b99
|
30
|
|
Prior sensitivity analysis in a semi-parametric integer-valued time series model, file e31e10d4-1e71-31fb-e053-1705fe0a5b99
|
21
|
|
Flexible clustering via hidden hierarchical Dirichlet priors, file 67462393-64cf-457e-9dff-973eccfe7e75
|
20
|
|
Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes, file 3e888cd0-6721-4391-879c-8d38ded963c2
|
19
|
|
Bayesian modeling via discrete nonparametric priors, file af3939cb-b4e0-4065-b4fc-623f993c85f0
|
16
|
|
Distribution theory for hierarchical processes, file e31e10d2-f519-31fb-e053-1705fe0a5b99
|
10
|
|
Comment on article by Page and Quintana, file e31e10d2-8bb2-31fb-e053-1705fe0a5b99
|
8
|
|
Discussion on the paper by Gerber and Chopin [Sequential quasi Monte Carlo / Mathieu Gerber and Nicolas Chopin], file e31e10d2-9066-31fb-e053-1705fe0a5b99
|
6
|
|
Bayesian nonparametrics, file e31e10d2-9068-31fb-e053-1705fe0a5b99
|
6
|
|
On the Pitman-Yor process with spike and slab base measure, file e31e10d2-ddaf-31fb-e053-1705fe0a5b99
|
6
|
|
Discussion on the paper by Caron and Fox [Sparse graphs using exchangeable random measures/ Francois Caron and Emily Fox], file e31e10d2-de35-31fb-e053-1705fe0a5b99
|
6
|
|
Discussion of the paper by E. Fong, C. Holmes and S. Walker, file 0da779ed-1efb-4457-87d9-5c9110b58b1f
|
4
|
|
Data tracking and the understanding of Bayesian consistency, file e31e10d2-8716-31fb-e053-1705fe0a5b99
|
4
|
|
Bayesian nonparametric inference beyond the Gibbs-type framework, file e31e10d3-5b75-31fb-e053-1705fe0a5b99
|
4
|
|
Exchangeable Hoeffding-decomposition over finite sets: a characterization and counterexamples, file e31e10d2-83cf-31fb-e053-1705fe0a5b99
|
3
|
|
Discussion of “On simulation and properties of the stable law” by L. Devroye and L. James, file e31e10d2-844b-31fb-e053-1705fe0a5b99
|
3
|
|
A Bayesian nonparametric model for combining data from different experiments, file e31e10d2-866d-31fb-e053-1705fe0a5b99
|
3
|
|
Some issues in Bayesian nonparamterics, file e31e10d2-8789-31fb-e053-1705fe0a5b99
|
3
|
|
Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective, file e31e10d2-8c2d-31fb-e053-1705fe0a5b99
|
3
|
|
On the stick-breaking representation for homogeneous NRMIs, file e31e10d2-8c2f-31fb-e053-1705fe0a5b99
|
3
|
|
Poisson-driven stationary Markov models, file e31e10d2-9064-31fb-e053-1705fe0a5b99
|
3
|
|
On a class of priors for Bayesian nonparametrics, file e31e10d2-90a9-31fb-e053-1705fe0a5b99
|
3
|
|
A note on the simulation of Levy processes with a view towards applications, file e31e10d2-9112-31fb-e053-1705fe0a5b99
|
3
|
|
Bayesian prediction with multiple-samples information, file e31e10d2-c289-31fb-e053-1705fe0a5b99
|
3
|
|
A moment-matching Ferguson & Klass algortihm, file e31e10d2-d876-31fb-e053-1705fe0a5b99
|
3
|
|
Specification of the base measure of nonparametric priors via random means, file 08bb7d17-60cb-4a39-bdba-9c7a0900e199
|
2
|
|
A new estimator of the discovery probability, file e31e10d2-7ca0-31fb-e053-1705fe0a5b99
|
2
|
|
A note on "Bayesian nonparametric estimators derived from conditional Gibbs structures", file e31e10d2-81b3-31fb-e053-1705fe0a5b99
|
2
|
|
Models beyond the Dirichlet process, file e31e10d2-832c-31fb-e053-1705fe0a5b99
|
2
|
|
Bayesian clustering in nonparametric hierarchical mixture models, file e31e10d2-8786-31fb-e053-1705fe0a5b99
|
2
|
|
Distributional results for means of normalized random measures with independent increments, file e31e10d2-87d9-31fb-e053-1705fe0a5b99
|
2
|
|
On rates of convergence for posterior distributions in infinite-dimensional models, file e31e10d2-8853-31fb-e053-1705fe0a5b99
|
2
|
|
Distributions of linear functionals of two parameter Poisson-Dirichlet random measures, file e31e10d2-9027-31fb-e053-1705fe0a5b99
|
2
|
|
Bayesian nonparametric estimation of the probability of discovering new species, file e31e10d2-9039-31fb-e053-1705fe0a5b99
|
2
|
|
On convergence rates for nonparametric posterior distributions, file e31e10d2-903b-31fb-e053-1705fe0a5b99
|
2
|
|
Hierarchical mixture modeling with normalized inverse-Gaussian priors, file e31e10d2-9093-31fb-e053-1705fe0a5b99
|
2
|
|
A note on the problem of heaps, file e31e10d2-909d-31fb-e053-1705fe0a5b99
|
2
|
|
Bayesian nonparametric density estimation in ecotoxicology, file e31e10d2-90a7-31fb-e053-1705fe0a5b99
|
2
|
|
On consistency of nonparametric normal mixtures for bayesian density estimation, file e31e10d2-91ba-31fb-e053-1705fe0a5b99
|
2
|
|
Exponential functional and means of neutral-to-the-right priors, file e31e10d2-91c2-31fb-e053-1705fe0a5b99
|
2
|
|
On some stationary models: construction and estimation, file e31e10d2-9df3-31fb-e053-1705fe0a5b99
|
2
|
|
On time Gibbs-type random probability measures, file e31e10d2-9df8-31fb-e053-1705fe0a5b99
|
2
|
|
Are Gibbs-type priors the most natural generalization of the Dirichlet process?, file e31e10d2-a54a-31fb-e053-1705fe0a5b99
|
2
|
|
Robustifying Bayesian nonparametric mixtures for count data, file e31e10d2-d974-31fb-e053-1705fe0a5b99
|
2
|
|
On some distributional properties of hierarchical processes, file e31e10d3-604d-31fb-e053-1705fe0a5b99
|
2
|
|
Density estimation via hierarchies of nonparametric priors, file e31e10d3-78ac-31fb-e053-1705fe0a5b99
|
2
|
|
Sampling hierarchies of discrete random structures, file e31e10d4-2305-31fb-e053-1705fe0a5b99
|
2
|
|
On the dependence structure in Bayesian nonparametric priors, file e31e10d4-a679-31fb-e053-1705fe0a5b99
|
2
|
|
Inner spike and slab Bayesian nonparametric models, file 03eda9da-68f7-45b4-a506-f880f0167e39
|
1
|
|
Posterior analysis for normalized random measures with independent increments, file e31e10d2-7bf8-31fb-e053-1705fe0a5b99
|
1
|
|
Dependent mixture models: clustering and borrowing information, file e31e10d2-7c9d-31fb-e053-1705fe0a5b99
|
1
|
|
Bayesian inference with dependent normalized completely random measures., file e31e10d2-7c9e-31fb-e053-1705fe0a5b99
|
1
|
|
Conditional formulae for Gibbs-type exchangeable random partitions, file e31e10d2-8247-31fb-e053-1705fe0a5b99
|
1
|
|
Bayesian nonparametric analysis for a generalized Dirichlet process prior, file e31e10d2-87d5-31fb-e053-1705fe0a5b99
|
1
|
|
Investigating nonparametric priors with Gibbs structure, file e31e10d2-884e-31fb-e053-1705fe0a5b99
|
1
|
|
Bayesian consistency for stationary models, file e31e10d2-8855-31fb-e053-1705fe0a5b99
|
1
|
|
Conjugacy as a distinctive feature of the Dirichlet process, file e31e10d2-8858-31fb-e053-1705fe0a5b99
|
1
|
|
Bayesian nonparametric estimators derived from conditional Gibbs structures, file e31e10d2-8cd8-31fb-e053-1705fe0a5b99
|
1
|
|
Extending Doob's consistency theorem to nonparametric densities, file e31e10d2-9099-31fb-e053-1705fe0a5b99
|
1
|
|
Misure di probabilità aleatorie derivate da processi additivi crescenti e loro applicazione alla statistica bayesiana, file e31e10d2-9108-31fb-e053-1705fe0a5b99
|
1
|
|
On the truncation error of a superposed gamma process, file e31e10d3-5752-31fb-e053-1705fe0a5b99
|
1
|
|
A bayesian nonparametric approach to ecological risk assessment, file e31e10d3-5754-31fb-e053-1705fe0a5b99
|
1
|
|
On the inferential implications of decreasing weight structures in mixture models, file e31e10d4-2301-31fb-e053-1705fe0a5b99
|
1
|
|
The Pitman-Yor multinomial process for mixture modelling, file e31e10d4-2410-31fb-e053-1705fe0a5b99
|
1
|
|
Measuring dependence in the Wasserstein distance for Bayesian nonparametric models, file e31e10d4-7989-31fb-e053-1705fe0a5b99
|
1
|
|
BNPdensity: Bayesian nonparametric mixture modelling in R, file e31e10d4-798b-31fb-e053-1705fe0a5b99
|
1
|
|
Transport distances on random vectors of measures: recent advances in Bayesian nonparametrics, file e31e10d4-80c0-31fb-e053-1705fe0a5b99
|
1
|
|
A framework for filtering in hidden Markov models with normalized random measures, file e31e10d4-a483-31fb-e053-1705fe0a5b99
|
1
|
| Totale |
860 |