Gaussian linear model selection in a dependent context
From MaRDI portal
Publication:2233592
DOI10.1214/21-EJS1885zbMath1471.62310arXiv2005.01058OpenAlexW3201672662MaRDI QIDQ2233592
Emmanuel Caron, Bertrand Michel, Jérôme Dedecker
Publication date: 11 October 2021
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2005.01058
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On asymptotically optimal wavelet estimation of trend functions under long-range dependence
- Optimal model selection for density estimation of stationary data under various mixing condi\-tions
- Slope heuristics: overview and implementation
- Nonparametric regression with long-range dependence
- Testing for strong serial correlation and dynamic conditional heteroskedasticity in multiple regression
- Concentration inequalities and model selection. Ecole d'Eté de Probabilités de Saint-Flour XXXIII -- 2003.
- The empirical process of some long-range dependent sequences with an application to U-statistics
- The functional central limit theorem for strongly mixing processes
- Large-sample inference for nonparametric regression with dependent errors
- Model selection for regression on a fixed design
- Function estimation via wavelet shrinkage for long-memory data
- Adaptive estimation in autoregression or \(\beta\)-mixing regression via model selection
- Local polynomial fitting with long-memory, short-memory and antipersistent errors
- A model for long memory conditional heteroscedasticity.
- Distant long-range dependent sums and regression estimation
- Nonparametric regression under long-range dependent normal errors
- Simultaneous estimation of the mean and the variance in heteroscedastic Gaussian regression
- Minimal penalties for Gaussian model selection
- On the minimax optimality of block thresholded wavelet estimators with long memory data
- Estimation and information in stationary time series
- Model selection for regression on a random design
- Aggregation of a random-coefficient ar(1) process with infinite variance and idiosyncratic innovations
- Large and moderate deviations for bounded functions of slowly mixing Markov chains
- Model selection and estimation of a component in additive regression
- Minimal penalties and the slope heuristics: a survey
- Weak convergence of the empirical process of intermittent maps in 𝕃2 under long-range dependence
- Long-Range Dependence and Self-Similarity
- Fractional Brownian Motions, Fractional Noises and Applications
- Some Comments on C P
- Fixed-design regression for linear time series
- Gaussian model selection
This page was built for publication: Gaussian linear model selection in a dependent context