scientific article; zbMATH DE number 7592862
From MaRDI portal
Publication:5869062
No author found.
Publication date: 27 September 2022
Full work available at URL: https://arxiv.org/abs/0909.3151
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
model selectionnonparametric regressionsharp oracle inequalitynon-asymptotic estimationsemimartingale noise
Related Items (10)
IMPROVED MODEL SELECTION METHOD FOR AN ADAPTIVE ESTIMATION IN SEMIMARTINGALE REGRESSION MODELS ⋮ Oracle inequalities for the stochastic differential equations ⋮ Adaptive efficient estimation for generalized semi-Markov big data models ⋮ Improved estimation method for high dimension semimartingale regression models based on discrete data ⋮ Unnamed Item ⋮ Robust model selection for a semimartingale continuous time regression from discrete data ⋮ Model selection for the robust efficient signal processing observed with small Lévy noise ⋮ Improved robust model selection methods for a Lévy nonparametric regression in continuous time ⋮ Robust adaptive efficient estimation for semi-Markov nonparametric regression models ⋮ Efficient estimation methods for non-Gaussian regression models in continuous time
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric sequential estimation of the drift in diffusion processes via model selection
- Uniform concentration inequality for ergodic diffusion processes
- General model selection estimation of a periodic regression with a Gaussian noise
- Spline smoothing in regression models and asymptotic efficiency in \(L_ 2\)
- Optimal filtering of square-integrable signals in Gaussian noise
- Risk bounds for model selection via penalization
- Ordered linear smoothers
- Oracle inequalities for inverse problems
- Improved model selection method for a regression function with dependent noise
- Adaptive asymptotically efficient estimation in heteroscedastic nonparametric regression
- Sharp non-asymptotic oracle inequalities for non-parametric heteroscedastic regression models
- Some Comments on C P
- A new look at the statistical model identification
This page was built for publication: