Open access peer-reviewed Edited Volume

Computational Statistics

Ricardo Lopez-Ruiz

University of Zaragoza

Ricardo López-Ruiz received Albert Nelson Marquis Lifetime Achievement Award 2017 (the Who’s Who Lifetime Achievement recognizes individuals that have achieved greatness in their field for at least 20 years). He is a member of ACM (Association for Computing Machinery) and AMS (American Mathematical Society).


Computational Statistics Machine Learning Statistical Data Computational Method Bio-Technology Data Analysis Clustering Visualization Techniques Deep Learning Evolutionary Computation Supervised Learning Unsupervised Learning

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About the book

Nature evolves mainly in a statistical way. Different strategies, formulas, and conformations are continuously confronted in the natural processes. Some of them are selected and then the evolution continues with a new loop of confrontation for the next generation of phenomena and living beings. Failings are corrected without a previous program or design. The new options generated by different statistical and random scenarios lead to solutions for surviving the present conditions. This is the general panorama for all scrutiny levels of the life cycles. In the last years, many methods grounded in theory and experience have been developed through machine learning and computational statistics to approach and simulate this type of behavior. Clustering, supervised and unsupervised learning, parameter optimization, feature selection, visualization techniques, ensemble methods, and evolutionary dynamics try to offer an alternative way for a better predictive performance in proteomics, genetics, spread of viruses, effectiveness and efficiency of vaccines, etc.

The goal of this book is to be useful to an audience interested in and involved with the computational statistics and machine learning applications.

Publishing process

Book initiated and editor appointed

Date completed: April 14th 2021

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: May 30th 2021

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: July 25th 2021

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: September 29th 2021

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: November 28th 2021

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About the editor

Ricardo Lopez-Ruiz

University of Zaragoza

Ricardo López-Ruiz, MS, Ph.D., works as an associate professor at the Department of Computer Science and Systems Engineering, University of Zaragoza, Spain. He also serves as a researcher in Complex Systems at the School of Mathematics, University of Zaragoza. He has worked as a lecturer at the University of Navarra, the Public University of Navarra, and at the UNED of Calatayud. He completed his postdoc with Prof. Yves Pomeau at the École Normale Supérieure of Paris, and with Prof. Gabriel Mindlin at the University of Buenos Aires. He has published over one hundred papers in journals, proceedings, and books, and has held about thirty presentations at various meetings and conferences. His areas of interest include statistical complexity and nonlinear models, chaotic maps and applications, multi-agent systems, and econophysics.

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Book chapters authored 3

Books edited 4

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