Pages that link to "Item:Q930663"
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The following pages link to Rates of contraction of posterior distributions based on Gaussian process priors (Q930663):
Displaying 50 items.
- Nonparametric Bayesian inference for reversible multidimensional diffusions (Q2105199) (← links)
- Bayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model (Q2112815) (← links)
- On some stochastic differential equations with jumps subject to small positives coefficients (Q2126928) (← links)
- Designing truncated priors for direct and inverse Bayesian problems (Q2136605) (← links)
- Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions (Q2196225) (← links)
- Posterior concentration for Bayesian regression trees and forests (Q2215727) (← links)
- Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors (Q2215729) (← links)
- Convergence rates of variational posterior distributions (Q2215731) (← links)
- A general framework for Bayes structured linear models (Q2215762) (← links)
- Semiparametric Bayesian causal inference (Q2215769) (← links)
- Bayesian linear inverse problems in regularity scales (Q2227478) (← links)
- Posterior contraction rates for support boundary recovery (Q2229557) (← links)
- Asymptotics of small deviations of the Bogoliubov processes with respect to a quadratic norm (Q2276502) (← links)
- A Bayesian nonparametric approach to log-concave density estimation (Q2295027) (← links)
- Adaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear models (Q2297237) (← links)
- Extrinsic Gaussian processes for regression and classification on manifolds (Q2316989) (← links)
- A nonparametric Bayesian methodology for regression discontinuity designs (Q2317304) (← links)
- On a Skorokhod problem with small double limit (Q2322303) (← links)
- Variable selection in panel models with breaks (Q2323384) (← links)
- Rates of contraction with respect to \(L_2\)-distance for Bayesian nonparametric regression (Q2326065) (← links)
- Bayesian regression with nonparametric heteroskedasticity (Q2343818) (← links)
- Minimax-optimal nonparametric regression in high dimensions (Q2343958) (← links)
- Rate-optimal posterior contraction for sparse PCA (Q2343963) (← links)
- Bayesian semiparametric Wiener system identification (Q2356659) (← links)
- Semiparametric Bernstein-von Mises theorem and bias, illustrated with Gaussian process priors (Q2392501) (← links)
- Large deviations for local times and intersection local times of fractional Brownian motions and Riemann-Liouville processes (Q2431523) (← links)
- Thomas Bayes' walk on manifolds (Q2447296) (← links)
- Posterior contraction rates for the Bayesian approach to linear ill-posed inverse problems (Q2447734) (← links)
- Anisotropic function estimation using multi-bandwidth Gaussian processes (Q2448734) (← links)
- On the existence of paths between points in high level excursion sets of Gaussian random fields (Q2450247) (← links)
- Nonparametric Bayesian methods for one-dimensional diffusion models (Q2637400) (← links)
- Personalized optimization with user's feedback (Q2665405) (← links)
- On the brittleness of Bayesian inference (Q2808261) (← links)
- Recovering gradients from sparsely observed functional data (Q2846447) (← links)
- Bayesian optimal adaptive estimation using a sieve prior (Q2852628) (← links)
- Consistency of Posterior Distributions for Heteroscedastic Nonparametric Regression Models (Q2859312) (← links)
- Regularized posteriors in linear ill-posed inverse problems (Q2911714) (← links)
- Comparison theorems for the small ball probabilities of the Green Gaussian processes in weighted $L_2$-norms (Q2931119) (← links)
- A Partially Linear Model Using a Gaussian Process Prior (Q2943791) (← links)
- Posterior contraction rate for non-parametric Bayesian estimation of the dispersion coefficient of a stochastic differential equation (Q2954229) (← links)
- POSTERIOR CONSISTENCY IN CONDITIONAL DENSITY ESTIMATION BY COVARIATE DEPENDENT MIXTURES (Q3191832) (← links)
- Adaptive Bayesian Procedures Using Random Series Priors (Q3460673) (← links)
- Posterior consistency for Gaussian process approximations of Bayesian posterior distributions (Q4600705) (← links)
- Posterior contraction in Gaussian process regression using Wasserstein approximations (Q4603714) (← links)
- Bernstein--von Mises Theorems and Uncertainty Quantification for Linear Inverse Problems (Q4960994) (← links)
- Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy (Q5052906) (← links)
- Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem (Q5117388) (← links)
- Comparing and Weighting Imperfect Models Using D-Probabilities (Q5120673) (← links)
- (Q5148979) (← links)
- Posterior consistency of semi-supervised regression on graphs (Q5157865) (← links)
