Posterior contraction and credible regions for level sets
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Publication:2044392
DOI10.1214/21-EJS1846zbMath1471.62375MaRDI QIDQ2044392
Publication date: 9 August 2021
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
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Cites Work
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- Supremum norm posterior contraction and credible sets for nonparametric multivariate regression
- Confidence regions for level sets
- Rates of contraction for posterior distributions in \(L^{r}\)-metrics, \(1 \leq r \leq \infty\)
- On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
- On Bayesian supremum norm contraction rates
- Probability in Banach spaces. Isoperimetry and processes
- Optimal rates for plug-in estimators of density level sets
- Generalized density clustering
- Adaptive Bernstein-von Mises theorems in Gaussian white noise
- Adaptive Hausdorff estimation of density level sets
- On adaptive posterior concentration rates
- Adaptive Bayesian credible sets in regression with a Gaussian process prior
- Exact rates in density support estimation
- Convergence rates of posterior distributions for non iid observations
- Wavelets on the interval and fast wavelet transforms
- On nonparametric estimation of density level sets
- A plug-in approach to support estimation
- Wavelets, approximation, and statistical applications
- Smooth discrimination analysis
- Posterior contraction rates of density derivative estimation
- An adaptation theory for nonparametric confidence intervals
- Honest confidence regions for nonparametric regression
- Convergence rates of posterior distributions.
- Rates of convergence of posterior distributions.
- Confidence balls in Gaussian regression.
- Measuring mass concentrations and estimating density contour clusters -- An excess mass approach
- Weak convergence and empirical processes. With applications to statistics
- On coverage and local radial rates of credible sets
- Posterior contraction and credible sets for filaments of regression functions
- Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions
- Needles and straw in a haystack: robust confidence for possibly sparse sequences
- Asymptotic normality of plug-in level set estimates
- Bayesian mode and maximum estimation and accelerated rates of contraction
- Estimation of regression contour clusters -- an application of the excess mass approach to regression
- Kernel estimation of density level sets
- Frequentist coverage of adaptive nonparametric Bayesian credible sets
- Confidence Regions for Means of Random Sets Using Oriented Distance Functions
- PLUG-IN ESTIMATION OF GENERAL LEVEL SETS
- Mathematical Foundations of Infinite-Dimensional Statistical Models
- Nonparametric Estimation of Regression Level Sets
- Estimating the number of clusters
- Inference on sets in finance
- Estimation and Confidence Regions for Parameter Sets in Econometric Models
- Rates of Convergence for a Bayesian Level Set Estimation
- Fundamentals of Nonparametric Bayesian Inference
- Convergence rates in nonparametric estimation of level sets