[PDF] Two|Sample Tests for High|Dimensional Linear Regression ...

TWO-SAMPLE TESTS FOR HIGH-DIMENSIONAL LINEAR ...

Key words and phrases: False discovery proportion, false discovery rate, high- dimensional linear regression, hypothesis testing, multiple comparisons, sparsity ...

Two-sample testing of high-dimensional linear regression ... - arXiv

We introduce a new method for two-sample testing of high-dimensional linear regression coefficients without assuming that those coefficients are individually es ...

Two-sample testing of high-dimensional linear regression ...

Two-sample hypotheses testing, high-dimensional data, linear model, sparsity, mini- max detection. 2950. Page 2. TWO-SAMPLE TESTING IN REGRESSION. 2951.

[PDF] Two-Sample Tests for High-Dimensional Linear Regression ...

A procedure for testing the equality of the two regression vectors globally is proposed and shown to be particularly powerful against sparse alternatives, ...

Two-sample testing of high-dimensional linear regression ... - arXiv

We introduce a new method for two-sample testing of high-dimensional linear regression coefficients without assuming that those coefficients are ...

(PDF) Two-sample testing of high-dimensional linear regression ...

PDF | We introduce a new method for two-sample testing of high-dimensional linear regression coefficients without assuming that those ...

Two-Sample Tests for High-Dimensional Linear Regression with an ...

Motivated by applications in genomics, we consider in this paper global and multiple testing for the comparisons of two high-dimensional linear regression ...

Two-Sample Tests for High-Dimensional Linear Regression with an ...

Request PDF | Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions | Motivated by applications in genomics, ...

Two-sample test of high dimensional means under dependence

The results show that the test proposed significantly outperforms those tests in a range of settings. Keywords: Covariance matrix; Extreme value distribution; ...

a two-sample test for high-dimensional data with applications to ...

The high data dimension ("large p") alone has created the need to renovate and rewrite some of the conventional multivariate analysis procedures; these needs ...

Tests for High-Dimensional Regression Coefficients With Factorial ...

We conducted numerical simulations to evaluate the finite sample performance of the proposed tests under both sim- ... (2010), “A Two Sample Test for High ...

High-Dimensional, Two-Sample Testing - Confidence Interval - Scribd

TwoSample - Free download as PDF File (.pdf), Text File (.txt) or read online for free. This document discusses high-dimensional two-sample testing, ...

Randomized tests for high-dimensional regression: A more efficient ...

T-test is proposed for testing the two-sample mean problem, given independent Gaussian samples. Having set up the problem, we introduce a novel testing ...

High-dimensional analysis of variance in multivariate linear regression

In the context of two-sample tests for mean vectors, where K ... A two sample test in high dimensional data. J. Mult. Anal. 114, 349 ...

A two sample test in high dimensional data - ScienceDirect.com

In this paper we propose a test for testing the equality of the mean vectors of two groups with unequal covariance matrices based on ... and ... independently ...

Distribution/correlation-free test for two-sample means in high ...

Partially functional linear regression in high dimensions. Biometrika, 2016, 103: 147–159. Article MathSciNet MATH Google Scholar. Krzyśko M ...

linear hypothesis testing for high dimensional ... - Dr. Rui Song

Constrained partial penalized regression. 2.1. Model setup. Suppose that {Xi,Yi}, i = 1,··· ,n is a sample from.

Confidence Intervals and Hypothesis Testing for High-Dimensional ...

We consider here high-dimensional linear regression problem, and propose an efficient algorithm for constructing confidence intervals and p-values. The ...

Differentially Private Hypothesis Testing for Linear Regression

non-private tests as we increase sample sizes or the privacy-loss parameter. ... can perform hypothesis testing for two problems in the multivariate linear ...

Linear Hypothesis Testing in Linear Models With High-Dimensional ...

We further provide insights into how to construct the optimal projection matrix. One- and two-sample mean problems can be formulated as special cases of linear ...