Data Science: Theory and Applications

by C.R. Rao (Editor), Arni S.R. Srinivasa Rao (Editor)

Overview

Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of interesting topics, including Modeling extreme climatic events using the generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data Science in Cancer Genomics, Blockchain Technology: Theory and Practice, Statistical outline of animal home ranges, an application of set estimation, Application of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and more.

Additional sections cover Nonparametric Data Science: Testing Hypotheses in Large Complex Data, From Urban Mobility Problems to Data Science Solutions, and Data Structures and Artificial Intelligence Methods.

Product Details

ISBN-13:	9780323852005
Publisher:	Elsevier Science
Publication date:	02/17/2021
Series:	Handbook of Statistics , #44
Pages:	348
Product dimensions:	6.00(w) x 9.00(h) x 0.81(d)

About the Author

book “Ancient Inhabitants of Jebel Moya” published by the Cambridge Press under the joint authorship of Rao and two anthropologists. On the basis of work done at CU during the two year period, 1946-1948, Rao earned a Ph.D. degree and a few years later Sc.D. degree of CU and the rare honor of life fellowship of Kings College, Cambridge.

He retired from ISI in 1980 at the mandatory age of 60 after working for 40 years during which period he developed ISI as an international center for statistical education and research. He also took an active part in establishing state statistical bureaus to collect local statistics and transmitting them to Central Statistical Organization in New Delhi. Rao played a pivitol role in launching undergraduate and postgraduate courses at ISI. He is the author of 475 research publications and several breakthrough papers contributing to statistical theory and methodology for applications to problems in all areas of human endeavor. There are a number of classical statistical terms named after him, the most popular of which are Cramer-Rao inequality, Rao-Blackwellization, Rao’s Orthogonal arrays used in quality control, Rao’s score test, Rao’s Quadratic Entropy used in ecological work, Rao’s metric and distance which are incorporated in most statistical books.

He is the author of 10 books, of which two important books are, Linear Statistical Inference which is translated into German, Russian, Czec, Polish and Japanese languages,and Statistics and Truth which is translated into, French, German, Japanese, Mainland Chinese, Taiwan Chinese, Turkish and Korean languages.

He directed the research work of 50 students for the Ph.D. degrees who in turn produced 500 Ph.D.’s. Rao received 38 hon. Doctorate degree from universities in 19 countries spanning 6 continents. He received the highest awards in statistics in USA,UK and India: National Medal of Science awarded by the president of USA, Indian National Medal of Science awarded by the Prime Minister of India and the Guy Medal in Gold awarded by the Royal Statistical Society, UK. Rao was a recipient of the first batch of Bhatnagar awards in 1959 for mathematical sciences and and numerous medals in India and abroad from Science Academies. He is a Fellow of Royal Society (FRS),UK, and member of National Academy of Sciences, USA, Lithuania and Europe. In his honor a research Institute named as CRRAO ADVANCED INSTITUTE OF MATHEMATICS, STATISTICS AND COMPUTER SCIENCE was established in the campus of Hyderabad University.

Arni S.R. Srinivasa Rao works in pure mathematics, applied mathematics, probability, artificial

intelligence and applications in medicine. He had edited these handbooks jointly with renowned statistician Dr. C. R. Rao. He is a Professor at the Medical College of Georgia,

Augusta University, U.S.A., and the Director of the Laboratory for Theory and Mathematical

Modeling housed within the Division of Infectious Diseases, Medical College of Georgia, Augusta,

U.S.A. Previously, Dr. Rao conducted research and/or taught at the Mathematical Institute, University of Oxford (2003, 2005-07), Indian Statistical Institute (1998-2002, 2006-2012), Indian Institute of Science (2002-04), University of Guelph (2004-06). Until 2012, Dr. Rao held a permanent faculty position at the Indian Statistical Institute. He has won the Heiwa-Nakajima Award (Japan) and Fast Track Young Scientists Fellowship in Mathematical Sciences (DST, New Delhi). Dr. Rao also proved a major theorem in stationary population models, such as, Rao’s Partition Theorem in

Populations, Rao-Carey Theorem in stationary populations, and developed mathematical

modeling-based policies for the spread of diseases like HIV, H5N1, COVID-19, etc. He developed

a new set of network models for understanding avian pathogen biology on grid graphs (these were

called chicken walk models), AI Models for COVID-19, and received wide coverage in the science

media. Dr. Rao is an elected Fellow of ISMMACS (Indian Society for Mathematical Modeling and

Computer Simulation), and ISPS (Indian Society for Probability and Statistics). He developed

concepts such as “Exact Deep Learning Machines”, and “Multilevel Contours within a bundle of Complex Number Planes”.

Table of Contents

Section I: Animal Models and Ecological Large Data Methods

1. Statistical outline of animal home ranges: An application of set estimation
Amparo Baίllo and José Enrique Chacón

2. Modeling extreme climatic events using the generalized extreme value (GEV) distribution
Diana Rypkema and Shripad Tuljapurkar

Section II: Engineering Sciences Data

3. Blockchain technology: Theory and practice
Srikanth Cherukupally

4. Application of data handling techniques to predict pavement performance
Sireesh Saride, Pranav R.T. Peddinti and B. Munwar Basha

Section III: Statistical Estimation Designs: fractional fields, biostatistics and non-parametrics

5. On the usefulness of lattice approximations for fractional Gaussian fields
Somak Dutta and Debashis Mondal

6. Estimating individual-level average treatment effects: Challenges, modeling approaches, and practical applications
Victor B. Talisa and Chung-Chou H. Chang

7. Nonparametric data science: Testing hypotheses in large complex data
Sunil Mathur

Section IV: Network Models and COVID-19 modeling

8. Network models in epidemiology
Tae Jin Lee, Masayuki Kakehashi and Arni S.R. Srinivasa Rao

9. Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook
Brijesh P. Singh

10. Mathematical modeling as a tool for policy decision making: Applications to the COVID-19 pandemic
J.Panovska-Griffiths, C.C. Kerr, W. Waites and R.M. Stuart

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