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Model selection and estimation of a component in additive regression
Model selection estimation component additive regression
2012/11/23
Let $Y\in\R^n$ be a random vector with mean $s$ and covariance matrix $\sigma^2P_n\tra{P_n}$ where $P_n$ is some known $n\times n$-matrix. We construct a statistical procedure to estimate $s$ as well ...
A Spatially-adjusted Bayesian Additive Regression Tree Model to Merge Two Datasets
BART CART Missing variables Spatial model Survey
2009/9/22
Scientic hypotheses of interest often involve variables that are not
available in a single survey. This is a common problem for researchers working
with survey data. We propose a model-based approac...
Uniform limit laws of the logarithm for estimators of the additive regression function in the presence of right censored data
nonparametric estimation additive regression function censored data uniform laws of the logarithm
2009/9/16
It has been recently shown that nonparametric estimators of the additive regression function could be obtained in the presence of right censoring by coupling the marginal integration method with initi...
Uniform limit laws of the logarithm for estimators of the additive regression function in the presence of right censored data
nonparametric estimation additive regressionfunction right censored data uniform laws of the logarithm
2010/4/26
It has been recently shown that nonparametric estimators of
the additive regression function could be obtained in the presence of right
censoring by coupling the marginal integration method with ini...
Additive Regression Model for Continuous Time Processes
Additive regression Continuous time processes Curse of dimensionality Marginal integration
2010/4/29
In the setting of additive regression model for continuous time process, we establish
the optimal uniform convergence rates and optimal asymptotic quadratic error of additive
regression. To build ou...
Some Uniform Limit Results in Additive Regression Model
additive model curse of dimensionality non parametric multivariate regression marginal integration
2010/4/29
We establish some uniform limit results in the setting of additive regression model estimation.
Our results allow to give an asymptotic 100% confidence bands for these components.
These results are ...