Pages that link to "Item:Q1807175"
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The following pages link to Posterior consistency of Dirichlet mixtures in density estimation (Q1807175):
Displaying 50 items.
- A Bernstein-von Mises theorem in the nonparametric right-censoring model (Q1879962) (← links)
- Convergence rates for posterior distributions and adaptive estimation (Q1879965) (← links)
- Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds (Q1926003) (← links)
- Posterior convergence and model estimation in Bayesian change-point problems (Q1952049) (← links)
- Adaptive Bayesian density estimation with location-scale mixtures (Q1952098) (← links)
- Posterior rates of convergence for Dirichlet mixtures of exponential power densities (Q1952186) (← links)
- Convergence of latent mixing measures in finite and infinite mixture models (Q1952455) (← links)
- On posterior contraction of parameters and interpretability in Bayesian mixture modeling (Q1983595) (← links)
- Bayesian inference for partially identified smooth convex models (Q2000867) (← links)
- Wasserstein upper bounds of the total variation for smooth densities (Q2006716) (← links)
- Criteria for posterior consistency and convergence at a rate (Q2008624) (← links)
- Bayesian test of normality versus a Dirichlet process mixture alternative (Q2040662) (← links)
- A survey of nonparametric mixing density estimation via the predictive recursion algorithm (Q2040663) (← links)
- A scalable Bayesian nonparametric model for large spatio-temporal data (Q2184402) (← links)
- Bayesian nonparametric test for independence between random vectors (Q2189593) (← links)
- Semiparametric Bayesian Markov analysis of personalized benefit-risk assessment (Q2194462) (← links)
- A general framework for Bayes structured linear models (Q2215762) (← links)
- Posterior asymptotics in Wasserstein metrics on the real line (Q2233550) (← links)
- Hypotheses testing and posterior concentration rates for semi-Markov processes (Q2243560) (← links)
- Beyond Whittle: nonparametric correction of a parametric likelihood with a focus on Bayesian time series analysis (Q2290700) (← links)
- Empirical priors and posterior concentration rates for a monotone density (Q2300097) (← links)
- Low information omnibus (LIO) priors for Dirichlet process mixture models (Q2316979) (← links)
- Nonparametric analysis of non-Euclidean data on shapes and images (Q2316991) (← links)
- Bayesian regression with nonparametric heteroskedasticity (Q2343818) (← links)
- Bayesian consistency for Markov models (Q2352339) (← links)
- Posterior consistency of Dirichlet mixtures for estimating a transition density (Q2370455) (← links)
- Convergence rates for Bayesian density estimation of infinite-dimensional exponential families (Q2373583) (← links)
- Bayesian parametric inference in a nonparametric framework (Q2384667) (← links)
- Asymptotics for posterior hazards (Q2388984) (← links)
- Bayesian hidden Markov models for dependent large-scale multiple testing (Q2416747) (← links)
- On posterior consistency of tail index for Bayesian kernel mixture models (Q2419667) (← links)
- On posterior consistency in nonparametric regression problems (Q2426740) (← links)
- Kullback Leibler property of kernel mixture priors in Bayesian density estimation (Q2426836) (← links)
- Smoothness properties and gradient analysis under spatial Dirichlet process models (Q2433259) (← links)
- Posterior consistency of logistic Gaussian process priors in density estimation (Q2433812) (← links)
- Copula based factorization in Bayesian multivariate infinite mixture models (Q2443267) (← links)
- On the topological support of species sampling priors (Q2509803) (← links)
- Sup–Hellinger consistency for local density regression (Q2807770) (← links)
- Nonparametric hierarchical Bayes analysis of binomial data via Bernstein polynomial priors (Q2856544) (← links)
- Consistency of Posterior Distributions for Heteroscedastic Nonparametric Regression Models (Q2859312) (← links)
- On strong Hellinger consistency of posterior distributions (Q2892940) (← links)
- A Direct Approach to Understanding Posterior Consistency of Bayesian Regression Problems (Q3100653) (← links)
- POSTERIOR CONSISTENCY IN CONDITIONAL DENSITY ESTIMATION BY COVARIATE DEPENDENT MIXTURES (Q3191832) (← links)
- Bayesian Repulsive Gaussian Mixture Model (Q3304847) (← links)
- Modeling Unobserved Sources of Heterogeneity in Animal Abundance Using a Dirichlet Process Prior (Q3506516) (← links)
- (Q3580559) (← links)
- On the Posterior Consistency of Mixtures of Dirichlet Process Priors with Censored Data (Q4455959) (← links)
- Non parametric Bayesian analysis of the two-sample problem with censoring (Q4606447) (← links)
- On the small sample behavior of Dirichlet process mixture models for data supported on compact intervals (Q5082570) (← links)
- Solving inverse problems using data-driven models (Q5230520) (← links)
