Multi-level Bayes and MAP monotonicity testing
DOI10.3103/S1066530720010032zbMath1476.62078arXiv1909.09517OpenAlexW3196562194MaRDI QIDQ2239313
Publication date: 3 November 2021
Published in: Mathematical Methods of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1909.09517
stable distributionsHaar transformBayes and MAP testscritical signal-noise ratiomaximum a posteriori probability (MAP)multi-level hypothesis testingtype I and II error probabilities
Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05) Minimax procedures in statistical decision theory (62C20) Order statistics; empirical distribution functions (62G30) Signal detection and filtering (aspects of stochastic processes) (60G35) Numerical methods for wavelets (65T60)
Related Items (1)
Cites Work
- A Kolmogorov-type test for monotonicity of regression.
- Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression function
- Testing for monotonicity of a regression mean by calibrating for linear functions.
- Testing monotonicity of regression.
- Multiscale testing of qualitative hypotheses
- Nonparametric goodness-of-fit testing under Gaussian models
- Testing the monotonicity or convexity of a function using regression splines
- Tests for monotonicity of a regression mean with guaranteed level
- On a Problem of Signal Detection Leading to Stable Distributions
- TESTING REGRESSION MONOTONICITY IN ECONOMETRIC MODELS
- The integral of an invariant unimodal function over an invariant convex set—an inequality and applications
- A Statistical Problem Arising in the Theory of Detection of Signals in the Presence of Noise in a Multi-Channel System and Leading to Stable Distribution Laws
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Multi-level Bayes and MAP monotonicity testing