Parabola is a mathematics magazine published by UNSW, Sydney. Among other things, each issue of Parabola has contained a......more
Parabola is a mathematics magazine published by UNSW, Sydney. Among other things, each issue of Parabola has contained a......more
This book is a how-to guide on statistical analyses designed for undergraduates and others new to the subject. It uses a......more
This book is a how-to guide on statistical analyses designed for undergraduates and others new to the subject. It uses a......more
Causal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference ......more
This book introduces basic concepts, principle, and methods of medical statistics systematically and practically, especi......more
...more
Disease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting distin......more
...more
This book constitutes the proceedings of the 27th International Symposium on Methodologies for Intelligent Systems, ISMI......more
...more
...more
This book introduces readers to the financial markets, derivatives, structured products and how the products are modelle......more
This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematic......more
Available in English for the first time, this classic and influential book by the late Kohei Otshu presents real example......more
This book grew out of the 2021 Chapel Hill Ergodic Theory Workshop (https: //ergwork.web.unc.edu/schedule-of-talks-201/)......more
This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, ......more
This book is a step-by-step data story for analysing ordinal data from start to finish. The book is for researchers, sta......more
MATRIX is Australia’s international and residential mathematical research institute. It facilitates new collaborations a......more
This open access book celebrates the decennial of the Department of Industrial Engineering of Università di Napoli Feder......more
This is an updated version of what is still the only text to address basic questions about how to model uncertainty in m......more
As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance ......more
Now in its second edition, this book provides a comprehensive overview of categorical and nonparametric statistics, offe......more
Kolmogorov equations are a fundamental bridge between the theory of partial differential equations and that of stochasti......more
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint......more
This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond pure d......more
This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning for Networking, M......more
...more
The Data Preparation Journey: Finding Your Way with R introduces the principles of data preparation within in a systemat......more
The Data Preparation Journey: Finding Your Way with R introduces the principles of data preparation within in a systemat......more
The book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling, and te......more
This book provides a compact exposition of the results explaining interrelations between diffusion stochastic processes, ......more
Object Oriented Data Analysis (OODA) provides a useful general framework for the consideration of many types of Complex ......more
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduct......more
This gives a comprehensive introduction to the (standard) statistical analysis based on the theory of martingales and de......more
The purpose of applying mathematical theory to the theory of statistical inference is to make it simpler and more elegan......more
Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random pro......more
This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings ......more
Thoroughly updated throughout, this second edition will continue to be about the practicable methods of statistical appl......more
Like the De Groot winning first edition, the second edition of Principles of Uncertainty is an accessible, comprehensive......more
The CRISPR-Cas9 genome-editing system is creating a revolution in the science world. In the laboratory, CRISPR-Cas9 can ......more
Practical Time Series Analysis for Data Science is an accessible guide that doesn’t require a background in calculus to ......more
Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intellig......more
This book is focused on the critical clinical initiatives introduced by the 21st Century Cure Act passed by the United S......more
This book introduces general definitions of third-variable effects that are adaptable to all different types of response......more
Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statistici......more
This book offers a modern, 2nd generation look on wavelets, far beyond the rigid setting of the equispaced, dyadic wavel......more
Researchers in the social sciences are faced with complex data sets in which they have relatively small samples and many......more
By deploying time series analysis, Fourier transform, functional analysis, min-plus convolution, and fractional order sy......more
For advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II and courses ......more
This book investigates statistical observables for anomalous and nonergodic dynamics, focusing on the dynamical behavior......more
In the era of "Big Data," distributional data is becoming more prevalent. This book presents a synthesis of research in ......more
The authors present the essence of statistical reasoning in clinical trials, peppered with well-known clinical trials Th......more
This one- or two-term calculus-based basic probability text is written for majors in mathematics, physical sciences, eng......more
The two-volume proceedings set CCIS 2121 and 2122 constitutes the refereed proceedings of the First International Confer......more
The two-volume proceedings set CCIS 2121 and 2122 constitutes the refereed proceedings of the First International Confer......more
Cell and gene therapies have become the third major drug modality in pharmaceutical medicine of the 21st century after l......more
Basics of probability to theory of statistical inference using techniques, definitions, concepts that are statistical, n......more
The vast majority of statistics books delineate techniques used to analyze collected data. The Joy of Statistics is not ......more
Optimization problems involving sequential decisions in a stochastic environment were studied in Stochastic Programming ......more
Exploring Operations Research with R shows how the R programming language can be a valuable tool - and way of thinking -......more
Generalized Linear Mixed Models: Modern Concepts, Methods, and Applications (2nd edition) presents an updated introducti......more
Exploring Operations Research with R shows how the R programming language can be a valuable tool - and way of thinking -......more
This textbook is a comprehensive guide to machine learning and artificial intelligence tailored for students in business......more
Praise for the first edition: "This book would be especially good for the shelf of anyone who already knows nonparametri......more
The main subject is the probabilistic extreme value theory. The purpose is to present recent results related to limiting......more
This volume covers the latest methodologies for using multimodal data fusion and analytics across several applications. ......more
This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to t......more
The use of simulation techniques has increased in importance in recent history, and simulation activities are an importa......more
The use of simulation techniques has increased in importance in recent history, and simulation activities are an importa......more
Continuous state dynamic models can be reformulated into discrete state processes. This process generates numerical sche......more
This is the second book of the two volumes covering the advanced statistical methods and analysis. Significant topics in......more
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint......more
...more
This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change ......more
This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical......more
The goal of this unique text is to provide an "experience" that would facilitate a better transition for mathematics maj......more
The goal of this unique text is to provide an "experience" that would facilitate a better transition for mathematics maj......more
This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applic......more
"At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that mig......more
Presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using......more
This book highlights the principles of psychological assessment to help researchers and clinicians better develop, evalu......more
Probabilistic models are widely used for description and an analysis of various processes in system reliability, risk, q......more
This book is for students and professionals involved in Geospatial Computations and related areas such as Geomatics, Sur......more
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint......more
The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint......more
This book is the first in a two-volume series that introduces the field of spatial data science. It offers an accessible......more
...more
The intention is to guide the reader through the R landscape of 2023 and beyond. The second edition contains 24 new diag......more
The intention is to guide the reader through the R landscape of 2023 and beyond. The second edition contains 24 new diag......more
The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools a......more
The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools a......more
This book is devoted to the fundamentals of order and rank statistics. Primarily focusing on theoretical properties, it ......more
This book constitutes the refereed proceedings of the First International Conference on Recent Trends in AI Enabled Tech......more
This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students. I......more
Mixture models are a powerful tool for analyzing complex and heterogeneous datasets across many scientific fields, from ......more