Pages that link to "Item:Q761730"
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The following pages link to On a class of Bayesian nonparametric estimates: I. Density estimates (Q761730):
Displaying 50 items.
- Functionals of Dirichlet processes, the Cifarelli-Regazzini identity and beta-gamma processes (Q2388352) (← links)
- Modal posterior clustering motivated by Hopfield's network (Q2416772) (← links)
- Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models (Q2418505) (← links)
- On posterior consistency of tail index for Bayesian kernel mixture models (Q2419667) (← links)
- Consistency of Bayesian nonparametric inference for discretely observed jump diffusions (Q2419674) (← links)
- Kullback Leibler property of kernel mixture priors in Bayesian density estimation (Q2426836) (← links)
- Bayesian nonparametric regression with varying residual density (Q2434133) (← links)
- A conjugate class of random probability measures based on tilting and with its posterior analysis (Q2435254) (← links)
- Copula based factorization in Bayesian multivariate infinite mixture models (Q2443267) (← links)
- Modelling of extreme wave heights and periods through copulas (Q2463688) (← links)
- Poisson calculus for spatial neutral to the right processes (Q2493558) (← links)
- Bayesian semi-parametric modeling for mixed proportional hazard models with right censoring (Q2494678) (← links)
- A predictive view of Bayesian clustering (Q2495818) (← links)
- A Bayes method for a monotone hazard rate via \(S\)-paths (Q2497183) (← links)
- Modeling individual differences using Dirichlet processes (Q2507904) (← links)
- Bayesian nonparametric model selection and model testing (Q2507905) (← links)
- Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture (Q2512619) (← links)
- Nonparametric Bayesian survival analysis using mixtures of Weibull distributions (Q2581640) (← links)
- Bayesian Poisson process partition calculus with an application to Bayesian Lévy moving averages (Q2583419) (← links)
- An adaptive truncation method for inference in Bayesian nonparametric models (Q2631376) (← links)
- Kernel based Dirichlet sequences (Q2692536) (← links)
- Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors (Q2787381) (← links)
- Species Sampling Priors for Modeling Dependence: An Application to the Detection of Chromosomal Aberrations (Q2800191) (← links)
- Bayesian Spatial Survival Models (Q2800198) (← links)
- Nonparametric hierarchical Bayes analysis of binomial data via Bernstein polynomial priors (Q2856544) (← links)
- A Latent Source Model to Detect Multiple Spatial Clusters With Application in a Mobile Sensor Network for Surveillance of Nuclear Materials (Q2861805) (← links)
- Measuring expectations in options markets: an application to the S&P500 index (Q2866371) (← links)
- On a class of random probability measures with general predictive structure (Q2911671) (← links)
- Rubbery Pólya tree (Q2911710) (← links)
- A predictive study of Dirichlet process mixture models for curve fitting (Q2922155) (← links)
- Bayesian non-parametrics and the probabilistic approach to modelling (Q2955477) (← links)
- Modelling long-term investment returns via Bayesian infinite mixture time series models (Q3077721) (← links)
- On-Line Learning for the Infinite Hidden Markov Model (Q3087571) (← links)
- New findings from terrorism data: Dirichlet process random-effects models for latent groups (Q3096926) (← links)
- Bayesian Nonparametric Nonproportional Hazards Survival Modeling (Q3183210) (← links)
- Compound Dirichlet Processes (Q3296430) (← links)
- Hierarchical Normalized Completely Random Measures to Cluster Grouped Data (Q3304855) (← links)
- Scalable Bayesian Nonparametric Clustering and Classification (Q3391447) (← links)
- Statistical Decision Problems and Bayesian Nonparametric Methods (Q3421334) (← links)
- A bayesian nonparametric density estimator (Q3432366) (← links)
- Bayesian linear regression with error terms that have symmetric unimod al densities (Q3432418) (← links)
- Sampling the Dirichlet Mixture Model with Slices (Q3447057) (← links)
- A Nonparametric Model for Stationary Time Series (Q3466889) (← links)
- Posterior analysis for some classes of nonparametric models (Q3523681) (← links)
- Posterior Analysis for Normalized Random Measures with Independent Increments (Q3552951) (← links)
- A New Bayesian Nonparametric Mixture Model (Q3577190) (← links)
- On Bayesian Mixture Credibility (Q3632855) (← links)
- Towards a practicable Bayesian nonparametric density estimator (Q3985505) (← links)
- Bayesian density estimation using bernstein polynomials (Q4262093) (← links)
- Nonparametric Bayes methods for directional data (Q4320736) (← links)
