The Feynman integral is considered as an intuitive representation of quantum mechanics showing the complex quantum phenomena in a language comprehensible at a classical level.
The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications.
This book includes high-quality papers presented at 18th International Conference on Information Technology and Applications (ICITA 2024), held in Sydney, Australia, during October 17-19, 2024.
This two-part volume gathers extended conference abstracts corresponding to selected talks from the "e;Biostatnet workshop on Biomedical (Big) Data"e; and from the "e;DoReMi LD-RadStats: Workshop for statisticians interested in contributing to EU low dose radiation research"e;, which were held at the Centre de Recerca Matematica (CRM) in Barcelona from November 26th to 27th, 2015, and at the Institut de Salut Global ISGlobal (former CREAL) from October 26th to 28th, 2015, respectively.
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining.
The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality.
This book provides a concise discussion of fundamental functional data analysis (FDA) techniques for analysing biomechanical data, along with an up-to-date review of their applications.
Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments.
The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners.
Since the thalidomide (Contergan) tragedy about 30 years agothe induction of prenatally-induced morphological orfunctional defects has been an area of extensive research.
The International Conference on the Progress in Statistical Physics was held in commemoration of Professor Choh, who is renowned for his seminal contribution to the kinetic theory of non-dilute fluids, well known as the Choh-Uhlenbeck equation.
Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics.
This book focuses on maximum principle and verification theorem for incomplete information forward-backward stochastic differential equations (FBSDEs) and their applications in linear-quadratic optimal controls and mathematical finance.
This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research.
The book is intended as a quick source of reference and as an aide-memoir for students taking A-level, undergraduate or postgraduate statistics courses.
This book constructs a rigorous framework for analysing selected phenomena in evolutionary theory of populations arising due to the combined effects of migration, selection and mutation in a spatial stochastic population model, namely the evolution towards fitter and fitter types through punctuated equilibria.
This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science.
This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections.
Factor Analysis and Dimension Reduction in R provides coverage, with worked examples, of a large number of dimension reduction procedures along with model performance metrics to compare them.
This book examines information processing performed by bio-systems at all scales: from genomes, cells and proteins to cognitive and even social systems.
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or experience.
Multivariate Bonferroni-Type Inequalities: Theory and Applications presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade.
The amount of cosmological data has dramatically increased in the past decades due to an unprecedented development of telescopes, detectors and satellites.
This book presents a unified description of binding equilibrium for a wide variety of systems focusing on acid-base and coordination chemistry, adsorption at interfaces, and electron binding in electrochemistry.
