Pages that link to "Item:Q761730"

The following pages link to On a class of Bayesian nonparametric estimates: I. Density estimates (Q761730):

Displaying 50 items.

• Bayesian density estimation via dirichlet density processes (Q4345904) (← links)
• Bayesian semiparametric inference for the accelerated failure‐time model (Q4381854) (← links)
• On Recursive Bayesian Predictive Distributions (Q4559693) (← links)
• Dirichlet process mixture models for insurance loss data (Q4583621) (← links)
• Bayesian Fourier clustering of gene expression data (Q4638837) (← links)
• A Bayesian nonparametric approach to reconstruction and prediction of random dynamical systems (Q4644231) (← links)
• Exact and approximate sum representations for the Dirichlet process (Q4801372) (← links)
• Using the gibbs sampler to simulate from the bayes estimate of a decreasing density (Q4843928) (← links)
• On nonparametric Bayesian inference for the distribution of a random sample (Q4891291) (← links)
• A Nested Dirichlet Process Analysis of Cluster Randomized Trial Data With Application in Geriatric Care Assessment (Q4916926) (← links)
• Bayesian Nonparametric Calibration and Combination of Predictive Distributions (Q4962434) (← links)
• AGE-SPECIFIC PROBABILITY OF CHILDBIRTH. SMOOTHING VIA BAYESIAN NONPARAMETRIC MIXTURE OF ROUNDED KERNELS (Q4965726) (← links)
• (Q4969063) (← links)
• Some issues in nonparametric Bayesian modeling using species sampling models (Q4970932) (← links)
• Bayesian analysis for confirmatory factor model with finite-dimensional Dirichlet prior mixing (Q4975169) (← links)
• Bayes Variable Selection in Semiparametric Linear Models (Q4975362) (← links)
• A Bayesian Nonparametric Regression Model With Normalized Weights: A Study of Hippocampal Atrophy in Alzheimer’s Disease (Q4975398) (← links)
• Bayesian MISE convergence rates of Polya urn based density estimators: asymptotic comparisons and choice of prior parameters (Q4987649) (← links)
• Bayesian joint analysis using a semiparametric latent variable model with non-ignorable missing covariates for CHNS data (Q5006012) (← links)
• Nonparametric Bayesian Two-Level Clustering for Subject-Level Single-Cell Expression Data (Q5041336) (← links)
• Fast Search and Estimation of Bayesian Nonparametric Mixture Models Using a Classification Annealing EM Algorithm (Q5066433) (← links)
• Consensus Monte Carlo for Random Subsets Using Shared Anchors (Q5066739) (← links)
• A consistent bayesian bootstrap for chi-squared goodness-of-fit test using a dirichlet prior (Q5078485) (← links)
• Bayesian Approaches to Nonparametric Estimation of Densities on the Unit Interval (Q5080515) (← links)
• On the small sample behavior of Dirichlet process mixture models for data supported on compact intervals (Q5082570) (← links)
• Sequentially allocated merge-split samplers for conjugate Bayesian nonparametric models (Q5083329) (← links)
• Bayesian density regression for discrete outcomes (Q5117661) (← links)
• Estimation of regression vectors in linear mixed models with Dirichlet process random effects (Q5154049) (← links)
• Bayesian bootstrapping for symmetric distributions (Q5163051) (← links)
• Bayesian nonparametric estimation of a copula (Q5220707) (← links)
• Rates for Bayesian Estimation of Location-Scale Mixtures of Super-Smooth Densities (Q5268840) (← links)
• Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence (Q5283160) (← links)
• Robustifying Bayesian nonparametric mixtures for count data (Q5347416) (← links)
• Nonparametric Bayesian inference for multivariate density functions using Feller priors (Q5419468) (← links)
• A unified Bayesian semiparametric approach to assess discrimination ability in survival analysis (Q5739283) (← links)
• Nonparametric localized bandwidth selection for Kernel density estimation (Q5860940) (← links)
• Particle learning for Bayesian semi-parametric stochastic volatility model (Q5860957) (← links)
• On a class of \(\sigma \)-stable Poisson-Kingman models and an effective marginalized sampler (Q5963541) (← links)
• Modeling with normalized random measure mixture models (Q5965028) (← links)
• MCMC for normalized random measure mixture models (Q5965029) (← links)
• Bayesian clustering for continuous‐time hidden Markov models (Q6059435) (← links)
• Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation (Q6067164) (← links)
• Full uncertainty analysis for Bayesian nonparametric mixture models (Q6071699) (← links)
• BNPdensity: Bayesian nonparametric mixture modelling in R (Q6075130) (← links)
• A General Modeling Framework for Open Wildlife Populations Based on the Polya Tree Prior (Q6079703) (← links)
• On Bayesian estimation of densities and sampling distributions: The posterior predictive distribution as the Bayes estimator (Q6089378) (← links)
• A unified construction for series representations and finite approximations of completely random measures (Q6103233) (← links)
• A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data (Q6107217) (← links)
• Individualized Group Learning (Q6107235) (← links)
• Online learning for the Dirichlet process mixture model via weakly conjugate approximation (Q6111498) (← links)