Reveals How HMMs Can Be Used as General-Purpose Time Series Models

Implements all methods in R Hidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and...

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the...

Shows how R can be used to solve bioinformatics and computational biology problems Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this...

Based on the author’s introductory course at the University of Oregon, Explorations in Computing: An Introduction to Computer Science focuses on the fundamental idea of computation and offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an...

It’s often difficult to predict which areas of a field will become rejuvenated and grow rapidly or spin off to fit with another to form something new. The field of electro-optics is also unpredictable, but currently it has numerous forces acting on it. First is the development of new optical sources such as ultrafast lasers and fiber...

Setting up a basic Joomla! Web site is easy; what comes next is hard and expensive - making the site do exactly what and look exactly how you want. With this book in hand, it is easy to adapt your site to bring your vision fully to life.

This book will help you to separate your site from the crowd of other Joomla! sites without having to...

Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. Accessible to engineering students, applied mathematicians, and practicing engineers, the text presents the central concepts and...

With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand parallel programming and master...

Address Errors before Users Find Them
Using a mix-and-match approach, Software Test Attacks to Break Mobile and Embedded Devices presents an attack basis for testing mobile and embedded systems. Designed for testers working in the ever-expanding world of "smart" devices driven by software, the book...

Flexible, Reliable Software: Using Patterns and Agile Development guides students through the software development process. By describing practical stories, explaining the design and programming process in detail, and using projects as a learning context, the text helps readers understand why a given...

This book is intended to have three roles and to serve three associated audiences: an
introductory text on Bayesian inference star ting from first principles, a graduate text on
effective current approaches to Bayesian modeling and computation in statistics and
related fields, and a handbook of Bayesian meth ods in applied...

Imagine you’ve received a large spreadsheet with messy but important data, and you know it’s got a story to
tell. You spend lots of time cutting and pasting, writing formulas, and data “cleaning.” One problem you’re
fixing is multiple versions of the same company’s name: XYZ, XYZ Inc., X...