Probability and statistics

Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application.

This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data.

This book discusses mixture and hidden Markov models for modeling behavioral data.

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China.

This book analyzes the development of medical big data projects in Japan.

This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making.

This book constitutes a selection of the best papers from the 15th International Conference on Business Excellence, Digital Economy and New Value Creation, ICBE 2021, held in Bucharest, Romania, in March 2021.

Historically researchers of neuroscience and psychology have believed that the cerebral cortex produces the unique mental capacities of human beings.

This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Aperture Radar (SAR).

This book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective of practical applied spectroscopy.

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science.

The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk.

This book proposes a bank risk aggregation framework based on financial statements.

This book discusses the two fundamental elements that underline the science and design of artificial intelligence (AI) systems: the learning and acquisition of knowledge from observational data, and the reasoning of that knowledge together with whatever information is available about the application at hand.

This book offers a unique new look at the familiar quantification theory from the point of view of mathematical symmetry and spatial symmetry.

This book presents intelligent methods like neural, neuro-fuzzy, machine learning, deep learning and metaheuristic methods and their applications in both volcanology and seismology.

Probability and statistics impinge on the life of the average person in a variety of ways - as is suggested by the title of this book.

The book provides an introduction to advanced topics in stochastic processes and related stochastic analysis, and combines them with a sound presentation of the fundamentals of financial mathematics.

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC)  without assuming advanced knowledge of mathematics and programming.

This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output.

Dieses Lehr- und Übungsbuch richtet sich an Sie als Studierende und praktisch tätige Fachleute der Geodäsie, der Geomatik, der Vermessung, der Ingenieurmathematik und verwandter Fachrichtungen.

This book discusses recent theoretical developments in agglomerative hierarchical clustering.

This book provides expository derivations for moments of a family of pseudo distributions, which is an extended family of distributions including the pseudo normal (PN) distributions recently proposed by the author.

This book provides a comprehensive guidance for the use of sound statistical methods and for the evaluation of fatigue data of welded components and structures obtained under constant amplitude loading and used to produce S-N curves.

This book organizes principles and methods of signal processing and machine learning into the framework of coherence.

As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Bela Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford.

This book provides a contemporary treatment of the problems related to anomalous diffusion and anomalous relaxation.

This book constitutes the refereed proceedings of the 18th European Workshop on Computer Performance Engineering, EPEW 2022, held in Santa Pola, Spain, in September 2022.

Brain, Decision Making, and Mental Health acknowledges that thinking is not a constant phenomenon but varies considerably across cultures.

This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s.

This thorough book collects methods and strategies to analyze proteomics data.

This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes.

The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants.

Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems.

This book discusses the payout phase of the old-age pension saving scheme, the so-called effective premium, and offers detailed actuarial models and analyses of five old-age pension saving products used in practice.

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking.

This book focuses on analysing the applications of the Shannon Measure of Information (SMI).

This monograph, now in its 2nd edition with 31 new chapters and significant updates, is the first book of its kind written specifically for graduate students and clinicians.

Recent advances in genetics over the last quarter of a century, especially in molecular techniques, have dramatically reduced the cost of determining genetic markers and hence opened up a field of research that is increasingly helping to detect, prevent and/or cure many diseases that afflict humans.

This book develops and details a rigorous, canonical modeling approach for analyzing spatio-temporal brain wave dynamics.

This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge.

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data.

R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in what is typically termed "e;Quantitative Chemistry"e; or sometimes "e;Analytical Chemistry"e;.

This book is a completely revised and updated version of this invaluable text which allows science students to extend necessary skills and techniques, with the topics being developed through examples in science which are easily understood by students from a range of disciplines.

This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences.

This volume is an original collection of articles by 44 leading mathematicians on the theme of the future of the discipline.

This book provides state-of-art statistical methodologies, practical considerations from regulators and sponsors, logistics, and real use cases for practitioners for the uptake of RWE/D.