JSTOR Daily

A LOW RANK-BASED ESTIMATION-TESTING PROCEDURE FOR MATRIX-COVARIATE REGRESSION

Matrix-covariate is now frequently encountered in many biomedical researches. It is common to fit conventional statistical models by vectorizing matrix-covariate. This strategy results in a large ...
JSTOR Daily

Hybrid quantile regression estimation for time series models with conditional heteroscedasticity

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 80, No. 5 (2018), pp. 975-993 (19 pages) Estimating conditional quantiles of financial time series is essential for ...
Nature

A unifying framework for robust association testing, estimation, and genetic model selection using the generalized linear model

Genome-wide association studies (GWAS) are widely used to uncover novel genetic susceptibility loci for complex genetic diseases. If the true genetic model is known, the association test reflecting ...
Business Wire

SmartBear Expands AI-driven Test Automation Offering with New Integration for Visual Regression Testing

SOMERVILLE, Mass.--(BUSINESS WIRE)--SmartBear, a leading provider of software development and visibility tools, has integrated VisualTest, its AI-driven automated regression visual testing tool ...