The following pages link to DPpackage (Q22455):
Displaying 50 items.
- Recursive pathways to marginal likelihood estimation with prior-sensitivity analysis (Q252729) (← links)
- Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks (Q309544) (← links)
- Posterior sampling from \(\epsilon\)-approximation of normalized completely random measure mixtures (Q502819) (← links)
- Theory and computations for the Dirichlet process and related models: an overview (Q505261) (← links)
- Computationally tractable approximate and smoothed Polya trees (Q517373) (← links)
- Bayesian semiparametric inference for multivariate doubly-interval-censored data (Q542983) (← links)
- Probability \textit{Distributome}: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions (Q736646) (← links)
- Bayesian nonparametric clustering as a community detection problem (Q830551) (← links)
- Informative \(g\)-priors for logistic regression (Q899042) (← links)
- Generalized linear mixed model with a penalized Gaussian mixture as a random effects distribution (Q1023681) (← links)
- Dependent mixture models: clustering and borrowing information (Q1621321) (← links)
- Bayesian nonparametric regression models for modeling and predicting healthcare claims (Q1622503) (← links)
- Additive mixed models with Dirichlet process mixture and P-spline priors (Q1633226) (← links)
- Bayesian temporal density estimation with autoregressive species sampling models (Q1657858) (← links)
- Functional regression approximate Bayesian computation for Gaussian process density estimation (Q1658999) (← links)
- A semiparametric scale-mixture regression model and predictive recursion maximum likelihood (Q1660139) (← links)
- Full Bayesian inference with hazard mixture models (Q1660222) (← links)
- Bayesian non-parametric simultaneous quantile regression for complete and grid data (Q1663119) (← links)
- Bayesian nonparametric estimation of test equating functions with covariates (Q1663271) (← links)
- A Bayesian hierarchical model for estimating and partitioning Bernstein polynomial density functions (Q1663310) (← links)
- Nonparametric Bayesian inference in applications (Q1663603) (← links)
- A review of Bayesian asymptotics in general insurance applications (Q1707556) (← links)
- Mixture modeling on related samples by \(\psi\)-stick breaking and kernel perturbation (Q1757668) (← links)
- Adaptive-modal Bayesian nonparametric regression (Q1950891) (← links)
- A vector of Dirichlet processes (Q1951103) (← links)
- Multiscale stick-breaking mixture models (Q2029098) (← links)
- Importance conditional sampling for Pitman-Yor mixtures (Q2141913) (← links)
- A Bayesian sensitivity analysis of the effect of different random effects distributions on growth curve models (Q2219419) (← links)
- Nonparametric Bayesian estimation of a concave distribution function with mixed interval censored data (Q2244845) (← links)
- On the Bayesian nonparametric generalization of IRT-type models (Q2275424) (← links)
- Implicit copulas from Bayesian regularized regression smoothers (Q2290705) (← links)
- Stochastic approximations to the Pitman-Yor process (Q2290710) (← links)
- Determinantal point process mixtures via spectral density approach (Q2297238) (← links)
- Nonparametric estimation of probabilistic sensitivity measures (Q2302500) (← links)
- Low information omnibus (LIO) priors for Dirichlet process mixture models (Q2316979) (← links)
- Imprecise Dirichlet process with application to the hypothesis test on the probability that \(X \leq Y\) (Q2320979) (← links)
- Comment: ``Bayes, oracle Bayes and empirical Bayes'' (Q2325629) (← links)
- Bayesian nonparametric spectral density estimation using B-spline priors (Q2329750) (← links)
- A tutorial on Dirichlet process mixture modeling (Q2332845) (← links)
- Modeling county level breast cancer survival data using a covariate-adjusted frailty proportional hazards model (Q2349557) (← links)
- Bayesian nonparametric data analysis (Q2354670) (← links)
- On selecting a prior for the precision parameter of Dirichlet process mixture models (Q2388972) (← links)
- Random effects clustering in multilevel modeling: choosing a proper partition (Q2418095) (← links)
- Call center service process analysis: Bayesian parametric and semi-parametric mixture modeling (Q2514772) (← links)
- Bayesian Spatial Survival Models (Q2800198) (← links)
- Marginal Bayesian nonparametric model for time to disease arrival of threatened amphibian populations (Q2809540) (← links)
- Flexible link functions in nonparametric binary regression with Gaussian process priors (Q2827177) (← links)
- Bayesian modeling for genetic anticipation in presence of mutational heterogeneity: a case study in Lynch syndrome (Q2893428) (← links)
- The BUGS book. A practical introduction to Bayesian analysis (Q2919530) (← links)
- A predictive study of Dirichlet process mixture models for curve fitting (Q2922155) (← links)
