Scientific Research Publishing

Dimensionality Reduction Evaluation for Multivariate Quantum Data ()

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
Hosted on MSN

Building multivariate linear regression in C++ — no libraries, just code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
IEEE

A method based on a genetic algorithm to find PWL approximations of multivariate nonlinear functions

Abstract: In this paper we present a systematic approach to find piecewise-linear approximations of multivariate continuous nonlinear functions, by ensuring a good trade-off between approximation ...
Scientific Research Publishing

J. Nyblom, “Invariant Tests for Covariance Structures in Multivariate Linear Model,” Journal of Multivariate Ana- lysis, Vol. 76, 2001, pp. 294-315. doi:10.1006/jmva.2000.1918

ABSTRACT: Certain locally optimal tests for deterministic components in vector time series have associated sampling distributions determined by a linear combination of Beta variates. Such ...
IEEE

Optimal triangular approximation for linear stable multivariable systems

Abstract: This paper deals with the problem of obtaining a stable triangular approximation for a linear, square, stable, discrete-time MIMO system. We solve this problem through an analytic procedure ...