Probability and statistics

This book provides an introduction to the theory of stochastic partial differential equations (SPDEs) of evolutionary type.

The volume contains the proceedings of the 9th Workshop on Model-Oriented Design and Analysis.

This textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications.

From earlier ecological studies it has become apparent that simple univariate or bivariate statistics are often inappropriate, and that multivariate statistical analyses must be applied.

Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty.

In clinical trial practice, controversial statistical issues inevitably occur regardless of the compliance with good statistical practice and good clinical practice.

Exploratory data analysis helps to recognize natural patterns hidden in the data.

Revealing the limitations of human decision-making, this book explores how Artificial Intelligence (AI) can be used to optimize decisions for improved business outcomes and efficiency, as well as looking ahead to the significant contributions Decision Intelligence (DI) can make to society and the ethical challenges it may raise.

This book contains the proceedings ofthe meeting on "e;Applied Mathematics in the Aerospace Field,"e; held in Erice, Sicily, Italy from September 3 to September 10, 1991.

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously.

Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields.

This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS.

This book is among the first to present the mathematical models most commonly used to solve optimal execution problems and market making problems in finance.

This textbook integrates the teaching and learning of statistical concepts with the acquisition of the Stata (version 16) software package.

This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology.

This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively.

The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology.

Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance.

Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality.

This book is an introduction to probability, statistics, data analysis, and hypothesis testing in physics.

This book provides a brief and general introduction to cybersecurity and cyber-risk assessment.

This book discusses the state-of-the-art and open problems in computational finance.

This book provides the elements of probability and stochastic processes of direct interest to the applied sciences where probabilistic models play an important role, most notably in the information and communications sciences, computer sciences, operations research, and electrical engineering, but also in fields like epidemiology, biology, ecology, physics, and the earth sciences.

This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2024), Universidad Peruana de Ciencias Aplicadas, Lima Peru, during 4-6 September 2024.

This book provides an introduction to operational research methods and their application in the agrifood and environmental sectors.

Your government warns that 10% of your neighbors have a deadly contagious virus.

Missing data is a ubiquitous problem that plagues many hydrometeorological datasets.

Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D.

Containing many results that are new, or which exist only in recent research articles, Interest Rate Modeling: Theory and Practice, 2nd Edition portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation.

This venture aspires to be a mix of a textbook at the undergraduate and postgraduate levels and a monograph to catch the attention of researchers in theoretical and practical aspects of survey sampling at diverse levels demanding a comprehensive review of what useful materials have preceded, with an eye to what beacons to the depth of the imminent future.

Data Scientists are experts at analyzing, modelling and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter.

New Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues.

This book contains 58 papers from among the 68 papers presented at the Fifth International Conference on Fibonacci Numbers and Their Applications which was held at the University of St.

The Advances in Applied Mechanics book series draws together recent significant advances in various topics in applied mechanics.

Statistical analyses of the numbers, lengths, and orientations of fission tracks etched in minerals yield dating and thermal history information valuable in geological and geoscience applications, particularly in oil exploration.

Most interesting and difficult problems in equilibrium statistical mechanics concern models which exhibit phase transitions.

The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series.

This title is written for the numerate nonspecialist, and hopes to serve three purposes.

Stochastic control is one of the methods being used to find optimal decision-making strategies in fields such as operations research and mathematical finance.

This 2003 book summarizes theoretical developments in statistical tools to measure financial markets, for students and professionals in econophysics and analytical markets.

The present monograph is a comprehensive summary of the research on visibility in random fields, which I have conducted with the late Professor Micha Yadin for over ten years.

SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS.

Supply Chain Management (SCM) is a wide field in which several specialties are included.

The Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability continues the tradition of this esteemed series, which has been held every five years since 1945.