The following pages link to Kernel stick-breaking processes (Q3631499):
Displaying 50 items.
- Calibrating covariate informed product partition models (Q65541) (← links)
- Dynamic density estimation with diffusive Dirichlet mixtures (Q265276) (← links)
- A fully nonparametric modeling approach to binary regression (Q273642) (← links)
- Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks (Q309544) (← links)
- A Dirichlet process functional approach to heteroscedastic-consistent covariance estimation (Q324685) (← links)
- Posterior consistency in conditional distribution estimation (Q391574) (← links)
- On the stick-breaking representation of \(\sigma\)-stable Poisson-Kingman models (Q405323) (← links)
- Nonparametric survival regression using the beta-Stacy process (Q447636) (← links)
- Theory and computations for the Dirichlet process and related models: an overview (Q505261) (← links)
- Spatial product partition models (Q516459) (← links)
- Robust identification of highly persistent interest rate regimes (Q518607) (← links)
- Bayesian modeling of joint and conditional distributions (Q527950) (← links)
- Bayesian semiparametric inference for multivariate doubly-interval-censored data (Q542983) (← links)
- Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling (Q546107) (← links)
- Nonparametric Bayesian models for a spatial covariance (Q713948) (← links)
- Bayesian local influence for survival models (Q746090) (← links)
- Multivariate Bayesian semiparametric models for authentication of food and beverages (Q765978) (← links)
- Bayesian mixture modeling for multivariate conditional distributions (Q777852) (← links)
- A Bayesian nonparametric model and its application in insurance loss prediction (Q784420) (← links)
- Tractable Bayesian density regression via logit stick-breaking priors (Q826968) (← links)
- A Bayesian goodness-of-fit test for regression (Q829735) (← links)
- Dependent mixtures of Dirichlet processes (Q901590) (← links)
- The local Dirichlet process (Q907085) (← links)
- Nonparametric spatial models for extremes: application to extreme temperature data (Q907383) (← links)
- Random partition models with regression on covariates (Q984631) (← links)
- A nonparametric dependent process for Bayesian regression (Q1012114) (← links)
- Bayesian nonparametric binary regression via random tessellations (Q1036741) (← links)
- Analysis of space-time relational data with application to legislative voting (Q1615138) (← links)
- Bayesian temporal density estimation with autoregressive species sampling models (Q1657858) (← links)
- Random density functions with common atoms and pairwise dependence (Q1659083) (← links)
- A time dependent Bayesian nonparametric model for air quality analysis (Q1659491) (← links)
- Dependent mixtures of geometric weights priors (Q1662082) (← links)
- A Bayesian data combination approach for repeated durations under unobserved missing indicators: application to interpurchase-timing in marketing (Q1663101) (← links)
- An elementary derivation of the Chinese restaurant process from Sethuraman's stick-breaking process (Q1726853) (← links)
- Toward automated prior choice (Q1790383) (← links)
- Bayesian ratemaking with common effects modeled by mixture of Pólya tree processes (Q1799639) (← links)
- Bayesian approaches to the model selection problem in the analysis of latent stage-sequential process (Q1927188) (← links)
- A Bayesian nonparametric approach to modeling market share dynamics (Q1940749) (← links)
- Adaptive-modal Bayesian nonparametric regression (Q1950891) (← links)
- A vector of Dirichlet processes (Q1951103) (← links)
- Hierarchical Dirichlet scaling process (Q2014581) (← links)
- A review of uncertainty quantification for density estimation (Q2048457) (← links)
- Centered partition processes: informative priors for clustering (with discussion) (Q2057318) (← links)
- The dependent Dirichlet process and related models (Q2075788) (← links)
- Dirichlet process and its developments: a survey (Q2080929) (← links)
- Nonparametric estimation of probabilistic sensitivity measures (Q2302500) (← links)
- Effect on prediction when modeling covariates in Bayesian nonparametric models (Q2320830) (← links)
- Bayesian regression with nonparametric heteroskedasticity (Q2343818) (← links)
- Bayesian nonparametric regression with varying residual density (Q2434133) (← links)
- Bayesian regression with heteroscedastic error density and parametric mean function (Q2512628) (← links)
