Data Science: Theory and Applications

Section I: Animal Models and Ecological Large Data Methods 1. Statistical outline of animal home ranges: An application of set estimationAmparo Bällo and José Enrique Chacón 2. Modeling extreme climatic events using the generalized extreme value (GEV) distributionDiana Rypkema and Shripad Tuljapurkar Section II: Engineering Sciences Data 3. Blockchain technology: Theory and practiceSrikanth Cherukupally 4. Application of data handling techniques to predict pavement performanceSireesh 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 fieldsSomak Dutta and Debashis Mondal 6. Estimating individual-level average treatment effects: Challenges, modeling approaches, and practical applicationsVictor B. Talisa and Chung-Chou H. Chang 7. Nonparametric data science: Testing hypotheses in large complex dataSunil Mathur Section IV: Network Models and COVID-19 modeling 8. Network models in epidemiologyTae 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 outlookBrijesh P. Singh 10. Mathematical modeling as a tool for policy decision making: Applications to the COVID-19 pandemicJ.Panovska-Griffiths, C.C. Kerr, W. Waites and R.M. Stuart