Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.
Researchers have identified specific coupled patterns of brain activity and gene expression that help explain impulsive behavior in children with attention deficit hyperactivity disorder. By analyzing ...
ABSTRACT: Academic achievement has been the subject of extensive investigation, highlighting the importance of individual, cognitive, and behavioral factors that influence students’ performance. Among ...
Abstract: Data-driven approaches have been widely used in the field of traction system and equipment fault diagnosis. However, limited training samples can cause data-driven models to face the dilemma ...
ABSTRACT: This research examines the interrelationships among uncertainty avoidance (UA), entrepreneurial motivations, and entrepreneurial intention (EI) within the context of Vietnamese higher ...
New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence. By Kevin Roose Reporting from San ...
Function fanplotFS.m now accepts in input not only the output of FSReda and FSRaddt but also the output of FSReda, Sregeda and MMregeda. fanplotFS can be used also to monitor the t-statistics coming ...
Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
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