Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.
Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.
Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Amanda Jackson has expertise in personal finance, investing, and social services. She is a ...
By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...
SMBs was just beginning. As a pioneer in the SaaS industry, Salesforce provided businesses with a platform that constantly monitored and recorded employee actions and tracked KPIs. The vast amount of ...
Data Descriptors, Scientific Data's primary article type, describe datasets. These must be made available to editors and referees at the time of submission and be shared with the scientific community ...
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 ...
Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning, ...
Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...
It then shakes the claim otherwise made in IMF programmes that social spending will be protected, given the IMF programme ...
This guide was reviewed by a Business News Daily editor to ensure it provides comprehensive and accurate information to aid your buying decision. Modern businesses run on data. Companies regularly ...
Objective Patients with atrial fibrillation (AF) frequently have multiple comorbidities that increase the risk of hospitalisation and contribute to higher mortality. However, studies examining the ...
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