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We study a marginal empirical likelihood approach in scenarios when the num-ber of variables grows exponentially with the sample size. The marginal empirical likelihood ratios as functions of the para...
We study a marginal empirical likelihood approach in scenarios when the num-ber of variables grows exponentially with the sample size. The marginal empirical likelihood ratios as functions of the para...
The varying-coefficient model is an important nonparametric statistical model that allows us to examine how the effects of covariates vary with exposure variables. When the number of covariates is big...
The varying-coefficient model is an important nonparametric statistical model that allows us to examine how the effects of covariates vary with exposure variables. When the number of covariates is big...
This paper provides a nonparametric analysis for several classes of models, with cases such as classical measurement error, regression with errors in variables, factor models and other models that may...
We consider a framework for counterfactual statistical analysis with graphical models based on marked point processes. The main idea is to treat the counterfactual scenario as just another probability...
We examine the effects of public ownership and regulatory agency independence on regulatory outcomes in EU telecommunications. Specifically, we study regulated interconnect rates paid by entrants to...
Ultrahigh dimensional variable selection plays an increasingly important role in contemporary scientific discoveries and statisti- cal research. Among others, Fan and Lv (2008) propose an indepen- ...
A concentration graph associated with a random vector is an undirected graph where each vertex corresponds to one random variable in the vector. The absence of an edge between any pair of vertices (...
Notions of independence for random variables      Notions of independence  random variables        font style='font-size:12px;'> 2009/9/24
Notions of independence for random variables。
In this note, which develops a part of our paper [2], we consider independence properties between Brownian motion, after Brownian scaling on a random interval (a, b), and the length (b-a) of the in...
Decomposing Independence Model Using Collapsed Tables for Contingency Tables Having Ordered Categories。
We investigate the performance of a family of multiple comparison procedures for strong control of the False Discovery Rate (FDR). The FDR is the expected False Discovery Proportion (FDP), that is, th...
One of the most popular class of tests for independence between two random variables is the general class of rank statistics which are invariant under permutations. This class contains Spearman's coef...
Independence of four projective criteria for the weak invariance principle.

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