Frontiers

fastMETA: a fast and efficient tool for multivariate meta-analysis of GWAS

Genome-Wide Association Studies (GWAS) have transformed human genetics by identifying thousands of loci associated with complex traits and diseases. Yet, individual GWAS are often underpowered, and ...
C&EN

Multivariate Analysis of RNA Chemistry Marks Uncovers Epitranscriptomics-Based Biomarker Signature for Adult Diffuse Glioma Diagnostics

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
GitHub

Multivariate Volatility Models (MVARCH) for stock prices and other time series)

A number of multivariate volatility models for time series of asset prices exist in the literature (DCC, VECC, BEKK, etc.). This package uses a general specification that encompasses a number of ...
Frontiers

CPD-Structured Multivariate Polynomial Optimization

We introduce the Tensor-Based Multivariate Optimization (TeMPO) framework for use in nonlinear optimization problems commonly encountered in signal processing, machine learning, and artificial ...
IEEE

Salvaging Data Records with Missing Data: Data Imputation using the Multivariate t Distribution

Abstract: When doing multivariate data analysis, one common obstacle is the presence of incomplete observations, i.e., observations for which one or more key fields are missing data. Missing data is ...
IEEE

A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries

Abstract: According to statistics, developing countries all over the world have suffered significant non-technical losses (NTLs) both in natural gas and electricity distribution. NTLs are thought of ...