Probability & Statistics

Advanced Techniques for Collecting Statistical Data is an edited book consisting of 17 contemporaneous open-access articles focused on data collect...

The problem of forecasting future values of economic and physical processes, the problem of restoring lost information, cleaning signals or other d...

The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning para...

This book is a holistic and self-contained treatment of the analysis and numerics of random differential equations from a problem-centred point of ...

We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. Small sample sizes can caus...

We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. Small sample sizes can caus...

Uncertainty quantification is an important step in establishing the predictive accuracy of simulation models employed in a broad range of disciplin...

This book provides a self-contained account of continuous-parameter time series, starting with second-order models. Integration with respect to ort...

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics f...

Studying invertebrates is a comprehensive guide to designing and carrying out ecological investigations, especially those involving sampling invert...

This volume provides an overview of two of the most important examples of interacting particle systems, the contact process, and the voter model, a...

Bayesian methods and their applications have become widespread due to the availability of algorithms and fast computers, since much of the solution...

This book grew out of the 2021 Chapel Hill Ergodic Theory Workshop (https://ergwork.web.unc.edu/schedule-of-talks-201/) during which young and seni...

The book exposes three alternative and competing approaches to uncertainty analysis in engineering. It is composed of some essays on various sub-to...

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics f...

This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engi...

This textbook will present, in a rigorous way, the basic theory of the discrete-time and the continuous-time Markov chains, along with many example...

Ziel des Buches ist es, die mathematischen Methoden und deren Anwendung, welche heutzutage typischerweise in der Finanzwelt und bei der Beschreibun...

This book of peer-reviewed short papers on methodological and applied statistics and demography is the second of four volumes from the 52nd Scienti...

This book of peer-reviewed short papers on methodological and applied statistics and demography is the first of four volumes from the 52nd Scientif...