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Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics)

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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.

The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data.

The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) 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; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.

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The Magnetocaloric Effect and its Applications (Series in Condensed Matter Physics)
The Magnetocaloric Effect and its Applications (Series in Condensed Matter Physics)
This book is a very comprehensive overview. It is interesting both for the experienced researcher and also for students just entering the field. Theory, experimental techniques, and literature are widely covered.
- Professor Bruck Ekkes

The magnetocaloric effect describes the change in temperature of a magnetic material
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Neuroimmunology of Sleep
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Bernadette Gral examines the relationship between financial slack and corporate performance in the European pharmaceutical industry during the financial crisis of 2007 to 2010. Her investigation includes correlational and regression analyses as well as the qualitative content analysis of newspaper articles. The results show that financial...

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