Mathematical and statistical software

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This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence, and system optimization.

The book covers computational statistics, its methodologies and applications for IoT device.

PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics.

A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.

This Volume contains the Keynote, Invited and Full Contributed papers presented at COMPSTAT'98.

Signal processing may broadly be considered to involve the recovery of information from physical observations.

Computational physics is a rapidly growing subfield of computational science, in large part because computers can solve previously intractable problems or simulate natural processes that do not have analytic solutions.

Quickly and Easily Write Dynamic DocumentsSuitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting.

Spreadsheet Problem Solving and Programming for Engineers and Scientists provides a comprehensive resource essential to a full understanding of modern spreadsheet skills needed for engineering and scientific computations.

This book prepares students to execute the quantitative and computational needs of the finance industry.

This book studies data, analytics, and intelligence using Boolean structure.

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R.

This book discusses the development of the Rosenbrock-Wanner methods from the origins of the idea to current research with the stable and efficient numerical solution and differential-algebraic systems of equations, still in focus.

This is the first book to show the capabilities of Microsoft Excel to teach educational and psychological statistics effectively.

This book presents recent non-asymptotic results for approximations in multivariate statistical analysis.

We believe that to understand and be comfortable with mathematical con- cepts and methods, it is necessary to do mathematics and, traditionally, doing meant with a pencil and paper.

This edited book is the first one written in English that deals comprehensively with behavior metrics.

Computational techniques based on simulation have now become an essential part of the statistician's toolbox.

​Angewandte Datenanalyse, Bayes´sche Statistik und moderne Simulationsmethoden mit dem Computer helfen, nicht direkt messbare Grössen zu bestimmen und Prognosen zu zukünftigen Werten von unsicheren Grössen zu berechnen.

This book discusses recent developments in mathematical programming and game theory, and the application of several mathematical models to problems in finance, games, economics and graph theory.

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Non-uniform random variate generation is an established research area in the intersection of mathematics, statistics and computer science.

A compact treatment that takes the reader from simple examples to current research involving ordinary differential equations.

Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data.

The first edition of this excellent handbook was extremely well received by both students and lecturers alike.

Master the concepts and techniques of statistical analysis using JMPPractical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis.

This Volume contains the Keynote, Invited and Full Contributed papers presented at COMPSTAT 2000.

This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain.

With the powerful interactive and visual functionality of JMP, you can dynamically analyze market data to transform it into actionable and useful information with clear, concise, and insightful reports and displays.

The articles that comprise this distinguished annual volume for the Advances in Mechanics and Mathematics series have been written in honor of Gilbert Strang, a world renowned mathematician and exceptional person.

Get going with tidymodels, a collection of R packages for modeling and machine learning.

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields.

This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016.

This book covers original research and the latest advances in symbolic, algebraic and geometric computation; computational methods for differential and difference equations, symbolic-numerical computation; mathematics software design and implementation; and scientific and engineering applications based on features, invited talks, special sessions and contributed papers presented at the 9th (in Fukuoka, Japan in 2009) and 10th (in Beijing China in 2012) Asian Symposium on Computer Mathematics (ASCM).

Modern software tools like Maple have the potential to alter radically the way mathematics is taught, learned, and done.

This book presents the state of the art on numerical semigroups and related subjects, offering different perspectives on research in the field and including results and examples that are very difficult to find in a structured exposition elsewhere.

Unlike the first edition, the new edition has been split into two books.

A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering.

This book presents the Proceedings of The 6th Brazilian Technology Symposium (BTSym'20).

This book introduces the Eora, Global Trade Analysis Project (GTAP) and World Input-Output (WIOD) databases and provides detailed metadata on the data sources, database structures and construction techniques used to build each system.

This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods.

Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis.