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 ...

In a nonparametric regression setting with multiple random predictor variables, we give the asymptotic distributions of estimators of global integral functionals of the regression surface. We apply ...

Nonlinear estimation algorithms are required for obtaining estimates of the parameters of a regression model with innovations having an ARMA structure. The three estimation methods employed by the ...

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 ...

Since the prevalence of rubella antibodies is low among Japanese men aged 40 to 57, the Ministry of Health, Labor, and Welfare (MHLW) has issued coupons for free rubella antibody testing and ...

In the process of loan pricing, stress testing, capital allocation, modeling of probability of default (PD) term structure and International Financial Reporting Standard 9 expected credit loss ...