Adaptive density estimation on bounded domains under mixing conditions
From MaRDI portal
Publication:2188474
DOI10.1214/20-EJS1682zbMath1442.62076OpenAlexW2924631397MaRDI QIDQ2188474
Karine Bertin, Nicolas Klutchnikoff, Clémentine Prieur, José Rafael León
Publication date: 11 June 2020
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1589443236
Density estimation (62G07) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Stationary stochastic processes (60G10) Animal behavior (92D50)
Related Items
Adaptive estimation of the stationary density of a stochastic differential equation driven by a fractional Brownian motion, Asymptotic properties of Dirichlet kernel density estimators
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Beta kernel estimators for density functions
- On adaptive minimax density estimation on \(\mathbb R^d\)
- Kernel density estimation via diffusion
- Slope heuristics: overview and implementation
- Nonparametric density estimation for multivariate bounded data
- Triangulating a simple polygon in linear time
- Risk bounds for model selection via penalization
- Mixing: Properties and examples
- Inequalities for absolutely regular sequences: application to density estimation
- On minimax wavelet estimators
- Adaptation to anisotropy and inhomogeneity via dyadic piecewise polynomial selection
- Boundary kernels for adaptive density estimators on regions with irregular boundaries
- Adaptive density estimation on bounded domains
- On estimating the perimeter using the alpha-shape
- Adaptive estimation for stochastic damping Hamiltonian systems under partial observation
- Smooth estimators of distribution and density functions
- Invariant density estimation for a reflected diffusion using an Euler scheme
- Some Limit Theorems for Random Functions. I
- Kernel Estimation of Densities with Discontinuities or Discontinuous Derivatives
- How many bins should be put in a regular histogram
- Density estimation via exponential model selection
- Smooth optimum kernel estimators near endpoints
- Incorporating support constraints into nonparametric estimators of densities
- Multivariate Boundary Kernels and a Continuous Least Squares Principle
- Sélection d'histogrammes à l'aide d'un critère de type Akaike
- A symmetrized Euler scheme for an efficient approximation of reflected diffusions
- Level sets and drift estimation for reflected Brownian motion with drift
- Advanced Lectures on Machine Learning
- Some Limit Theorems for Stationary Processes
- Introduction to nonparametric estimation
