All Stories

  1. PAK-MAN: Enhancing Parallel Bayesian Optimization of Cloud and HPC Systems via Machine Learning
  2. The multivariate Bernoulli detector: change point estimation in discrete survival analysis
  3. Clustering blood donors via mixtures of product partition models with covariates
  4. Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems
  5. Predicting donations and profiling donors in a blood collection center: a Bayesian approach
  6. Childhood obesity in Singapore: A Bayesian nonparametric approach
  7. Bayesian nonparametric mixture modeling for temporal dynamics of gender stereotypes
  8. Bayesian functional emulation of CO2 emissions on future climate change scenarios
  9. Gender inequalities at work in Southern Europe
  10. Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment
  11. MALIBOO: When Machine Learning meets Bayesian Optimization
  12. MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes
  13. Spatially dependent mixture models via the logistic multivariate CAR prior
  14. The Semi-Hierarchical Dirichlet Process and Its Application to Clustering Homogeneous Distributions
  15. Focal electroretinogram and microperimetry testing of photoreceptor‐retinal pigment epithelium function in intermediate age‐related macular degeneration
  16. Clustering Species With Residual Covariance Matrix in Joint Species Distribution Models
  17. Bayesian spatio-temporal modelling and prediction of areal demands for ambulance services
  18. Determinantal Point Process Mixtures Via Spectral Density Approach
  19. Autoregressive Bayesian semi-parametric models for gap times between recurrent events
  20. Statistical Methods in Medicine: Application to the Study of Glaucoma Progression
  21. Joint modeling of recurrent events and survival: a Bayesian non-parametric approach
  22. A Bayesian Model for Describing and Predicting the Stochastic Demand of Emergency Calls
  23. A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction
  24. Bayesian joint modelling of the health profile and demand of home care patients
  25. Posterior sampling from $\varepsilon$-approximation of normalized completely random measure mixtures
  26. A blocked Gibbs sampler for NGG-mixture models via a priori truncation
  27. Modeling the Association Between Clusters of SNPs and Disease Responses
  28. A “Density-Based” Algorithm for Cluster Analysis Using Species Sampling Gaussian Mixture Models
  29. A Bayesian framework for describing and predicting the stochastic demand of home care patients
  30. Semiparametric Bayesian models for clustering and classification in the presence of unbalanced in-hospital survival
  31. Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times
  32. A Simple Class of Bayesian Nonparametric Autoregression Models
  33. Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach
  34. A class of measure-valued Markov chains and Bayesian nonparametrics
  35. A semiparametric Bayesian generalized linear mixed model for the reliability of Kevlar fibers
  36. Bayesian first order auto-regressive latent variable models for multiple binary sequences
  37. Bayesian density estimation and model selection using nonparametric hierarchical mixtures
  38. Mixed-effects modelling of Kevlar fibre failure times through Bayesian non-parametrics
  39. A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression
  40. Generalized Moment Theory and Bayesian Robustness Analysis for Hierarchical Mixture Models
  41. A stochastic equation for the law of the random Dirichlet variance
  42. Theory and numerical analysis for exact distributions of functionals of a Dirichlet process
  43. Perfect Simulation Involving Functionals of a Dirichlet Process
  44. Markov Chain Monte Carlo Estimation of the Law of the Mean of a Dirichlet Process
  45. Bayesian and Conditional Frequentist Testing of a Parametric Model Versus Nonparametric Alternatives
  46. Approximating de Finetti's measures for partially exchangeable sequences
  47. Methods for Global Prior Robustness under Generalized Moment Conditions
  48. A simple procedure calculating the generalized Stieltjes transform of the mean of a Dirichlet process
  49. Non-informative invariant priors yield peculiar marginals
  50. Numerical robust Bayesian analysis under generalized moment conditions