Some simple heuristic properties of conditional independence are shown to form a conceptual framework for much of the theory of statistical inference. This framework is illustrated by an examination ...

Modern statistical methodologies are increasingly focused on addressing the challenges associated with high-dimensional data through advanced techniques for variable selection and model estimation.

This is a preview. Log in through your library . Abstract This is a review of the current state of the "theory of shape" introduced by the author in 1977. It starts with a definition of "shape" for a ...

Statistical Approximation Theory and Operators is a vibrant area within applied mathematics that investigates how diverse families of operators can be utilised to ...

Associate Professor Yusuke Imoto at Kyoto University has developed iRECODE, a comprehensive computational method that removes ...

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Stephen Ziliak of Roosevelt University and Deirdre McCloskey of University of Illinois at Chicago have done the world of academic research the greatest, but least welcome, of favors. In their book, ...

What is a PhD in Biostatistics? The PhD in Biostatistics is a full-time degree program offered at Drexel University Dornsife School of Public Health. This doctoral program trains students to become ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...

study of numbers, measurements, patterns, shapes, equations, relations, functions, change, symmetry, structure, sets and operations modeling of physical phenomena to better understand and predict ...