Abstract: This paper presents a method for generating a separable regression function from a nonseparable one, enabling theapplication of parameter estimation methods. In particular, we are interested ...

Abstract: Multidimensional small baseline subset interferometric synthetic aperture radar (MSBAS InSAR) is a multidimensional deformation time series inversion method that integrates multiorbit SAR ...

Sankhyā: The Indian Journal of Statistics, Series B (2008-), Vol. 74, No. 1 (May 2012), pp. 107-125 (19 pages) We develop objective Bayesian analysis for the linear regression model with random errors ...

This is a preview. Log in through your library . Abstract A general method of testing the significance of nonlinear regression, suggested by Hotelling, is adapted to the regression equations Y = bepx ...

This code was part of a final project submission for the class Psychology 186B - Cognitive Science Laboratory: Neural Networks, which I took at UCLA in the Spring of 2020. The assignment was ...

This repository contains an implementation of Smooth Transition Regression (STR) models in MATLAB. The focus is on simulating data, estimating model parameters, and comparing different regression ...

Crane, D. B., and James R. Crotty. "A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression." Management Science 13, no. 8 (April 1966).

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...

ABSTRACT: In the investigation of disease dynamics, the effect of covariates on the hazard function is a major topic. Some recent smoothed estimation methods have been proposed, both frequentist and ...