Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from ...

This online data science specialization is designed to provide you with a solid foundation in probability theory in preparation for the broader study of statistics. The specialization also introduces ...

Topics in nonasymptotic direct computational methods for statistical inference in data mining. Background in probability and statistics required.

Although population association studies are not new, there remain many areas of disagreement over appropriate statistical analyses. This article provides an overview of statistical methods, including ...

In recent years, a need for compact representations of databases has become apparent, for example in natural language understanding, machine learning, and decision making, accompanied by a need for ...

ECONOMISTS develop economic models to explain consistently recurring relationships. Their models link one or more economic variables to other economic variables (see “What Are Economic Models,” F&D, ...

In this article, the problem of semi-parametric inference on the parameters of a multidimensional Lévy process L t with independent components based on the low-frequency observations of the ...