Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
From MaRDI portal
Publication:6651419
DOI10.1080/01621459.2024.2308333MaRDI QIDQ6651419
Meng Li, Marina Vannucci, Zejian Liu, Cheng-Han Yu
Publication date: 10 December 2024
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Inference using shape-restricted regression splines
- Supremum norm posterior contraction and credible sets for nonparametric multivariate regression
- The Bernstein-von Mises theorem for the proportional hazard model
- Multiple testing of local maxima for detection of peaks in 1D
- On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
- A semiparametric Bernstein-von Mises theorem for Gaussian process priors
- Bayesian linear regression with sparse priors
- A Bernstein-von Mises theorem for smooth functionals in semiparametric models
- Adaptive Bayesian inference in the Gaussian sequence model using exponential-variance priors
- Smooth functions and local extreme values
- Local extremes, runs, strings and multiresolution. (With discussion)
- A Bernstein-von Mises theorem in the nonparametric right-censoring model
- The Bernstein-von Mises theorem under misspecification
- Multiple testing of local maxima for detection of peaks in random fields
- Function-on-scalar quantile regression with application to mass spectrometry proteomics data
- Reproducing properties of differentiable Mercer-like kernels
- Learning Theory
- Bayesian Isotonic Regression and Trend Analysis
- A Bayesian Approach to Non-Parametric Monotone Function Estimation
- Estimating Smooth Monotone Functions
- Asymptotic Statistics
- Mathematical Foundations of Infinite-Dimensional Statistical Models
- Bayesian local extremum splines
- Nonparametric Inference for Local Extrema with Application to Oligonucleotide Microarray Data in Yeast Genome
- Fundamentals of Nonparametric Bayesian Inference
- Functional Group Bridge for Simultaneous Regression and Support Estimation
- Bayesian regression with B‐splines under combinations of shape constraints and smoothness properties
- Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis
- Modality-Constrained Density Estimation via Deformable Templates
This page was built for publication: Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise