Big data book by Dean of Mathematics and Science finds a model for success

Dean Ejaz Ahmed of the Faculty of Mathematics and Science has made a strong impact on the field of statistics.

Some of his contributions include being the author and editor of the Springer Publishing book Big and Complex Data Analysis. The book was first published March 2017 and has since become a globally respected publication for data scientists and statisticians.

“The book on Big and Complex Data Analysis has been successful,” said Editor of Statistics for Springer Publishing Veronika Rosteck. “It has more than 53,000 chapter downloads and many citations.”

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.

“My role as editor is to review the many quality entries once they are selected, ensure accuracy in the research and verify facts cited in the material,” said Ahmed. “I am consistently impressed with the novel ideas and new approaches in the chapters.”

In addition to editing, Ahmed also authored a chapter and the preface of the book.

The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. It also seeks to highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences.

Ahmed believes the book will help identify important directions for future research in the theory of regularization methods, in algorithmic development and in methodologies for different application areas.

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