A practical implementation of weighted kernel density estimation for handling shape constraints
From MaRDI portal
Publication:6541475
DOI10.1002/STA4.202MaRDI QIDQ6541475
W. John Braun, Mark Anthony Wolters
Publication date: 19 May 2024
Published in: Stat (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Fusion of hard and soft information in nonparametric density estimation
- Maximum likelihood estimation of a log-concave density and its distribution function: basic properties and uniform consistency
- Shape constrained kernel density estimation
- Nonparametric testing of the existence of modes
- Unimodal density estimation using Bernstein polynomials
- Attributing a probability to the shape of a probability density
- Practical Optimization
- Density Estimation and Bump-Hunting by the Penalized Likelihood Method Exemplified by Scattering and Meteorite Data
- Maximum Likelihood Estimation of a Multi-Dimensional Log-Concave Density
- Enforcing shape constraints on a probability density estimate using an additive adjustment curve
- Kernel Methods and Machine Learning
- On the Distributional Characterization of Daily Log‐Returns of a World Stock Index
Related Items (1)
This page was built for publication: A practical implementation of weighted kernel density estimation for handling shape constraints
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6541475)