Miguel de Carvalho – författare

Statistics of extremes is a prominent field of research concerned with modeling the risk of occurrence of extreme events, that is, low-probability-high-impact events such as a stock market crash, hurricanes, heatwaves, and widespread flooding.The Handbook of Statistics of Extremes covers statistical models for univariate, multivariate, and spatio-temporal extreme values. Written by leading experts from around the world, it serves as a key reference for statisticians and data scientists, as well as for professionals working in risk modeling—such as geophysical and climate scientists, financial analysts, and health clinicians and neuroscientists—and as a valuable resource for practitioners and graduate students who wish to deepen their understanding of the statistical modeling of extreme events.Key Features:· Presents frequentist and Bayesian methods, as well as AI-based techniques for extreme value analysis.· Details how to model the frequency, magnitude, and spatio-temporal dependence of extreme events, and how to extrapolate into the tails of a distribution beyond observed data.· Provides code, data, and other additional materials available here: https://extremestats.github.io/Handbook/.

This volume presents a collection of twenty-five peer-reviewed articles carefully selected from the contributions presented at the XXV Congress of the Portuguese Statistical Society (2021).

This volume presents a collection of twenty-five peer-reviewed articles carefully selected from the contributions presented at the XXV Congress of the Portuguese Statistical Society (2021).

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). Each contribution highlights the latest advancements and research in the field, offering valuable insights and innovative methodologies for researchers and practitioners alike.