Posterior contraction and testing for multivariate isotonic regression
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Publication:2689602
DOI10.1214/23-EJS2115MaRDI QIDQ2689602
Publication date: 13 March 2023
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2211.12595
Asymptotic properties of nonparametric inference (62G20) Bayesian inference (62F15) Stationary stochastic processes (60G10)
Uses Software
Cites Work
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- A Method for Bayesian Monotonic Multiple Regression
- Supremum norm posterior contraction and credible sets for nonparametric multivariate regression
- The limit distribution of the \(L_{\infty}\)-error of Grenander-type estimators
- An algorithm for isotonic regression for two or more independent variables
- Least squares isotonic regression in two dimensions
- Sharp oracle inequalities for least squares estimators in shape restricted regression
- Testing for monotonicity of a regression mean by calibrating for linear functions.
- Testing monotonicity of regression.
- Risk bounds in isotonic regression
- Weak convergence and empirical processes. With applications to statistics
- Isotonic regression via partitioning
- Limit distribution theory for block estimators in multiple isotonic regression
- Isotonic regression in multi-dimensional spaces and graphs
- Coverage of credible intervals in nonparametric monotone regression
- Convergence rates for Bayesian estimation and testing in monotone regression
- Set structured global empirical risk minimizers are rate optimal in general dimensions
- Isotonic regression in general dimensions
- Isotonic regression for multiple independent variables
- Asymptotic normality of the \(L_k\)-error of the Grenander estimator
- On matrix estimation under monotonicity constraints
- Testing monotonicity via local least concave majorants
- On the \(\mathbb L_p\)-error of monotonicity constrained estimators
- Bayesian monotone regression using Gaussian process projection
- Bayesian Isotonic Regression and Trend Analysis
- Nonparametric Bayesian testing for monotonicity
- A Bayesian Approach to Non-Parametric Monotone Function Estimation
- A Simple New Algorithm for Quadratic Programming with Applications in Statistics
- Causal Isotonic Regression
- Isotonic regression for metallic microstructure data: estimation and testing under order restrictions
- On Integrated L1 Convergence Rate of an Isotonic Regression Estimator for Multivariate Observations
- Fundamentals of Nonparametric Bayesian Inference
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