Data Science: Theory and Applications

<p>Section I: Animal Models and Ecological Large Data Methods</p> <p>1. Statistical outline of animal home ranges: An application of set estimation<br>Amparo Baίllo and José Enrique Chacón</p> <p>2. Modeling extreme climatic events using the generalized extreme value (GEV) distribution<br>Diana Rypkema and Shripad Tuljapurkar</p> <p>Section II: Engineering Sciences Data</p> <p>3. Blockchain technology: Theory and practice<br>Srikanth Cherukupally</p> <p>4. Application of data handling techniques to predict pavement performance<br>Sireesh Saride, Pranav R.T. Peddinti and B. Munwar Basha</p> <p>Section III: Statistical Estimation Designs: fractional fields, biostatistics and non-parametrics</p> <p>5. On the usefulness of lattice approximations for fractional Gaussian fields<br>Somak Dutta and Debashis Mondal</p> <p>6. Estimating individual-level average treatment effects: Challenges, modeling approaches, and practical applications<br>Victor B. Talisa and Chung-Chou H. Chang</p> <p>7. Nonparametric data science: Testing hypotheses in large complex data<br>Sunil Mathur</p> <p>Section IV: Network Models and COVID-19 modeling</p> <p>8. Network models in epidemiology<br>Tae Jin Lee, Masayuki Kakehashi and Arni S.R. Srinivasa Rao</p> <p>9. Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook<br>Brijesh P. Singh</p> <p>10. Mathematical modeling as a tool for policy decision making: Applications to the COVID-19 pandemic<br>J.Panovska-Griffiths, C.C. Kerr, W. Waites and R.M. Stuart<br></p>