Pages that link to "Item:Q2558726"

The following pages link to A Bayesian analysis of some nonparametric problems (Q2558726):

Displaying 50 items.

• Markov jump random c.d.f.'s and their posterior distributions (Q869102) (← links)
• Bayesian semiparametric analysis for a single item maintenance optimization (Q881541) (← links)
• Univariate Bayesian nonparametric mixture modeling with unimodal kernels (Q892442) (← links)
• Bayesian nonparametric models of circular variables based on Dirichlet process mixtures of normal distributions (Q894831) (← links)
• A Bayesian nonparametric approach for time series clustering (Q899011) (← links)
• Matrix-variate Dirichlet process priors with applications (Q899020) (← links)
• Local-mass preserving prior distributions for nonparametric Bayesian models (Q899026) (← links)
• Robust Bayesian graphical modeling using Dirichlet \(t\)-distributions (Q899035) (← links)
• On a nonparametric change point detection model in Markovian regimes (Q899057) (← links)
• Semiparametric Bayesian inference for stochastic frontier models (Q899522) (← links)
• Bayesian nonparametric inference for shared species richness in multiple populations (Q899532) (← links)
• A Bayesian nonparametric approach for the analysis of multiple categorical item responses (Q899537) (← links)
• Ruin probabilities for Bayesian exchangeable claims processes (Q899543) (← links)
• Bayesian clustering of shapes of curves (Q899551) (← links)
• A conversation with Jayaram Sethuraman (Q900465) (← links)
• Usage of a pair of \(\mathbf S\)-paths in Bayesian estimation of a unimodal density (Q901532) (← links)
• Dependent mixtures of Dirichlet processes (Q901590) (← links)
• Incorporating the stochastic process setup in parameter estimation (Q905240) (← links)
• A semi-parametric Bayesian approach for differential expression analysis of RNA-seq data (Q906075) (← links)
• The local Dirichlet process (Q907085) (← links)
• Nonparametric spatial models for extremes: application to extreme temperature data (Q907383) (← links)
• A conversation with Myles Hollander (Q908153) (← links)
• Probabilistic proofs of relations with Stirling numbers of the first kind by Dirichlet process (Q922581) (← links)
• On option pricing under a completely random measure via a generalized Esscher transform (Q938038) (← links)
• Bayesian nonparametric estimators derived from conditional Gibbs structures (Q939079) (← links)
• Nonparametric Bayesian image segmentation (Q942836) (← links)
• A generalized constructive definition for the Dirichlet process (Q952887) (← links)
• Homogeneous clustering method for data on tumor incidence due to dose levels (Q955855) (← links)
• A new algorithm to generate beta processes (Q957025) (← links)
• Moderate deviations for Poisson-Dirichlet distribution (Q957519) (← links)
• On a Gibbs characterization of normalized generalized gamma processes (Q958923) (← links)
• An improved collapsed Gibbs sampler for Dirichlet process mixing models (Q959192) (← links)
• A Bayesian nonparametric study of a dynamic nonlinear model (Q961884) (← links)
• Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data (Q961896) (← links)
• Objective parametric model selection procedures from a Bayesian nonparametric perspective (Q961925) (← links)
• Nonparametric Bayesian multiple testing for longitudinal performance stratification (Q965133) (← links)
• Optional Pólya tree and Bayesian inference (Q973873) (← links)
• Distributional properties of means of random probability measures (Q975574) (← links)
• Hierarchical relational models for document networks (Q977628) (← links)
• Random partition models with regression on covariates (Q984631) (← links)
• Lamperti-type laws (Q990380) (← links)
• Bayesian anomaly detection methods for social networks (Q993239) (← links)
• A Dirichlet process mixture of hidden Markov models for protein structure prediction (Q993267) (← links)
• Posterior convergence rates of Dirichlet mixtures at smooth densities (Q995421) (← links)
• Stationary mixture transition distribution (MTD) models via predictive distributions (Q997299) (← links)
• Bayesian mixture modeling for spatial Poisson process intensities, with applications to extreme value analysis (Q997304) (← links)
• Multiple integral representation for functionals of Dirichlet processes (Q1002577) (← links)
• Random quantiles of the Dirichlet process (Q1004267) (← links)
• Nonparametric Bayes estimation in repair models (Q1007431) (← links)
• An alternative to the \(m\) out of \(n\) bootstrap (Q1007457) (← links)