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Perfect Simulation

Perfect Simulation

Exact sampling specifically coupling from the past (CFTP) allows users to sample exactly from the stationary distribution of a Markov chain. During its nearly 20 years of existence exact sampling has evolved into perfect simulation which enables high-dimensional simulation from interacting distributions.Perfect Simulation illustrates the application of perfect simulation ideas and algorithms to a wide range of problems. The book is one of the first to bring together research on simulation from statistics physics finance computer science and other areas into a unified framework. You will discover the mechanisms behind creating perfect simulation algorithms for solving an array of problems.The author describes numerous protocol methodologies for designing algorithms for specific problems. He first examines the commonly used acceptance/rejection (AR) protocol for creating perfect simulation algorithms. He then covers other major protocols including CFTP; the Fill Machida Murdoch and Rosenthal (FMMR) method; the randomness recycler; retrospective sampling; and partially recursive AR along with multiple variants of these protocols. The book also shows how perfect simulation methods have been successfully applied to a variety of problems such as Markov random fields permutations stochastic differential equations spatial point processes Bayesian posteriors combinatorial objects and Markov processes.

GBP 45.59
1

Authentication Codes and Combinatorial Designs

Authentication Codes and Combinatorial Designs

Researchers and practitioners of cryptography and information security are constantly challenged to respond to new attacks and threats to information systems. Authentication Codes and Combinatorial Designs presents new findings and original work on perfect authentication codes characterized in terms of combinatorial designs namely strong partially balanced designs (SPBD).Beginning with examples illustrating the concepts of authentication schemes and combinatorial designs the book considers the probability of successful deceptions followed by schemes involving three and four participants respectively. From this point the author constructs the perfect authentication schemes and explores encoding rules for such schemes in some special cases.Using rational normal curves in projective spaces over finite fields the author constructs a new family of SPBD. He then presents some established combinatorial designs that can be used to construct perfect schemes such as t-designs orthogonal arrays of index unity and designs constructed by finite geometry. The book concludes by studying definitions of perfect secrecy properties of perfectly secure schemes and constructions of perfect secrecy schemes with and without authentication.Supplying an appendix of construction schemes for authentication and secrecy schemes Authentication Codes and Combinatorial Designs points to new applications of combinatorial designs in cryptography.

GBP 45.59
1

A First Course in Ergodic Theory

A First Course in Ergodic Theory

A First Course in Ergodic Theory provides readers with an introductory course in Ergodic Theory. This textbook has been developed from the authors’ own notes on the subject which they have been teaching since the 1990s. Over the years they have added topics theorems examples and explanations from various sources. The result is a book that is easy to teach from and easy to learn from — designed to require only minimal prerequisites. Features Suitable for readers with only a basic knowledge of measure theory some topology and a very basic knowledge of functional analysis Perfect as the primary textbook for a course in Ergodic Theory Examples are described and are studied in detail when new properties are presented.

GBP 55.19
1

A First Course in Ergodic Theory

A First Course in Ergodic Theory

A First Course in Ergodic Theory provides readers with an introductory course in Ergodic Theory. This textbook has been developed from the authors’ own notes on the subject which they have been teaching since the 1990s. Over the years they have added topics theorems examples and explanations from various sources. The result is a book that is easy to teach from and easy to learn from — designed to require only minimal prerequisites. Features Suitable for readers with only a basic knowledge of measure theory some topology and a very basic knowledge of functional analysis Perfect as the primary textbook for a course in Ergodic Theory Examples are described and are studied in detail when new properties are presented.

GBP 44.99
1

Handbook of Ordinary Differential EquationsExact Solutions Methods and Problems

Handbook of Ordinary Differential EquationsExact Solutions Methods and Problems

The Handbook of Ordinary Differential Equations: Exact Solutions Methods and Problems is an exceptional and complete reference for scientists and engineers as it contains over 7 000 ordinary differential equations with solutions. This book contains more equations and methods used in the field than any other book currently available. Included in the handbook are exact asymptotic approximate analytical numerical symbolic and qualitative methods that are used for solving and analyzing linear and nonlinear equations. The authors also present formulas for effective construction of solutions and many different equations arising in various applications like heat transfer elasticity hydrodynamics and more. This extensive handbook is the perfect resource for engineers and scientists searching for an exhaustive reservoir of information on ordinary differential equations.

GBP 200.00
1

Bio-Inspired Computing for Image and Video Processing

Bio-Inspired Computing for Image and Video Processing

In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up de-centralized approach that often involves the method of specifying a set of simple rules a set of simple organisms which adhere to those rules and of iteratively applying those rules. Bio-Inspired Computing for Image and Video Processing covers interesting and challenging new theories in image and video processing. It addresses the growing demand for image and video processing in diverse application areas such as secured biomedical imaging biometrics remote sensing texture understanding pattern recognition content-based image retrieval and more. This book is perfect for students following this topic at both undergraduate and postgraduate level. It will also prove indispensable to researchers who have an interest in image processing using bio-inspired computing.

GBP 104.00
1

Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topics—statistical models linear normal models exponential families estimation asymptotics of maximum likelihood significance testing and models for tables of counts. It assumes a good background in mathematical analysis linear algebra and probability but includes an appendix with basic results from these areas. Throughout the text there are numerous examples and graduated exercises that illustrate the topics covered rendering the book suitable for teaching or self-study. Features A concise yet rigorous introduction to a one-semester course in Mathematical Statistics Covers all the key topics Assumes a solid background in Mathematics and Probability Numerous examples illustrate the topics Many exercises enhance understanding of the material and enable course use This textbook will be a perfect fit for an advanced course in Mathematical Statistics or Statistical Theory. The concise and lucid approach means it could also serve as a good alternative or supplement to existing texts.

GBP 74.99
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Basketball Data Science With Applications in R

Basketball Data Science With Applications in R

Using data from one season of NBA games Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player's shots or doing an analysis of the impact of high pressure game situations on the probability of scoring this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge Basketball Data Science with R is suitable for students technicians coaches data analysts and applied researchers. Features: One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball Presents tools for modelling graphs and figures to visualize the data Includes real world case studies and examples such as estimations of scoring probability using the Golden State Warriors as a test case Provides the source code and data so readers can do their own analyses on NBA teams and players | Basketball Data Science With Applications in R

GBP 48.99
1

Graphs & Digraphs

Graphs & Digraphs

Graphs & Digraphs masterfully employs student-friendly exposition clear proofs abundant examples and numerous exercises to provide an essential understanding of the concepts theorems history and applications of graph theory. Fully updated and thoughtfully reorganized to make reading and locating material easier for instructors and students the Sixth Edition of this bestselling classroom-tested text: Adds more than 160 new exercises Presents many new concepts theorems and examples Includes recent major contributions to long-standing conjectures such as the Hamiltonian Factorization Conjecture 1-Factorization Conjecture and Alspach’s Conjecture on graph decompositions Supplies a proof of the perfect graph theorem Features a revised chapter on the probabilistic method in graph theory with many results integrated throughout the text At the end of the book are indices and lists of mathematicians’ names terms symbols and useful references. There is also a section giving hints and solutions to all odd-numbered exercises. A complete solutions manual is available with qualifying course adoption. Graphs & Digraphs Sixth Edition remains the consummate text for an advanced undergraduate level or introductory graduate level course or two-semester sequence on graph theory exploring the subject’s fascinating history while covering a host of interesting problems and diverse applications.

GBP 75.99
1

Spatial Cluster Modelling

Spatial Cluster Modelling

Research has generated a number of advances in methods for spatial cluster modelling in recent years particularly in the area of Bayesian cluster modelling. Along with these advances has come an explosion of interest in the potential applications of this work especially in epidemiology and genome research. In one integrated volume this book reviews the state-of-the-art in spatial clustering and spatial cluster modelling bringing together research and applications previously scattered throughout the literature. It begins with an overview of the field then presents a series of chapters that illuminate the nature and purpose of cluster modelling within different application areas including astrophysics epidemiology ecology and imaging. The focus then shifts to methods with discussions on point and object process modelling perfect sampling of cluster processes partitioning in space and space-time spatial and spatio-temporal process modelling nonparametric methods for clustering and spatio-temporal cluster modelling. Many figures some in full color complement the text and a single section of references cited makes it easy to locate source material. Leading specialists in the field of cluster modelling authored each chapter and an introduction by the editors to each chapter provides a cohesion not typically found in contributed works. Spatial Cluster Modelling thus offers a singular opportunity to explore this exciting new field understand its techniques and apply them in your own research.

GBP 45.59
1

Advanced Linear Algebra

Advanced Linear Algebra

Advanced Linear Algebra Second Edition takes a gentle approach that starts with familiar concepts and then gradually builds to deeper results. Each section begins with an outline of previously introduced concepts and results necessary for mastering the new material. By reviewing what students need to know before moving forward the text builds a solid foundation upon which to progress. The new edition of this successful text focuses on vector spaces and the maps between them that preserve their structure (linear transformations). Designed for advanced undergraduate and beginning graduate students the book discusses the structure theory of an operator various topics on inner product spaces and the trace and determinant functions of a linear operator. It addresses bilinear forms with a full treatment of symplectic spaces and orthogonal spaces as well as explains the construction of tensor symmetric and exterior algebras. Featuring updates and revisions throughout Advanced Linear Algebra Second Edition: Contains new chapters covering sesquilinear forms linear groups and groups of isometries matrices and three important applications of linear algebra Adds sections on normed vector spaces orthogonal spaces over perfect fields of characteristic two and Clifford algebras Includes several new exercises and examples with a solutions manual available upon qualifying course adoption The book shows students the beauty of linear algebra while preparing them for further study in mathematics.

GBP 71.99
1

Computational BiologyA Statistical Mechanics Perspective

Computational BiologyA Statistical Mechanics Perspective

Quantitative methods have a particular knack for improving any field they touch. For biology computational techniques have led to enormous strides in our understanding of biological systems but there is still vast territory to cover. Statistical physics especially holds great potential for elucidating the structural-functional relationships in biomolecules as well as their static and dynamic properties.Breaking New GroundComputational Biology: A Statistical Mechanics Perspective is the first book dedicated to the interface between statistical physics and bioinformatics. Introducing both equilibrium and nonequilibrium statistical mechanics in a manner tailored to computational biologists the author applies these methods to understand and model the properties of various biomolecules and biological networks at the systems level. Unique Vision Novel ApproachBlossey combines his enthusiasm for uniting the fields of physics and computational biology with his considerable experience knowledge and gift for teaching. He uses numerous examples and tasks to illustrate and test understanding of the concepts and he supplies a detailed keyword list for easy navigation and comprehension. His approach takes full advantage of the latest tools in statistical physics and computer science to build a strong set of tools for confronting new challenges in computational biology.Making the concepts crystal clear without sacrificing mathematical rigor Computational Biology: A Statistical Mechanics Perspective is the perfect tool to broaden your skills in computational biology.

GBP 45.59
1

A Kalman Filter Primer

A Kalman Filter Primer

System state estimation in the presence of noise is critical for control systems signal processing and many other applications in a variety of fields. Developed decades ago the Kalman filter remains an important powerful tool for estimating the variables in a system in the presence of noise. However when inundated with theory and vast notations learning just how the Kalman filter works can be a daunting task. With its mathematically rigorous “no frills” approach to the basic discrete-time Kalman filter A Kalman Filter Primer builds a thorough understanding of the inner workings and basic concepts of Kalman filter recursions from first principles. Instead of the typical Bayesian perspective the author develops the topic via least-squares and classical matrix methods using the Cholesky decomposition to distill the essence of the Kalman filter and reveal the motivations behind the choice of the initializing state vector. He supplies pseudo-code algorithms for the various recursions enabling code development to implement the filter in practice. The book thoroughly studies the development of modern smoothing algorithms and methods for determining initial states along with a comprehensive development of the “diffuse” Kalman filter. Using a tiered presentation that builds on simple discussions to more complex and thorough treatments A Kalman Filter Primer is the perfect introduction to quickly and effectively using the Kalman filter in practice.

GBP 59.99
1

A Handbook of Statistical Analyses Using S-PLUS

A Handbook of Statistical Analyses Using S-PLUS

Since the first edition of this book was published S-PLUS has evolved markedly with new methods of analysis new graphical procedures and a convenient graphical user interface (GUI). Today S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. Combining the command line language and GUI of S-PLUS now makes this book even more suitable for inexperienced users students and anyone without the time patience or background needed to wade through the many more advanced manuals and texts on the market. The second edition of A Handbook of Statistical Analyses Using S-Plus has been completely revised to provide an outstanding introduction to the latest version of this powerful software system. Each chapter focuses on a particular statistical technique applies it to one or more data sets and shows how to generate the proposed analyses and graphics using S-PLUS. The author explains S-PLUS functions from both the Windows and command-line perspectives and clearly demonstrates how to switch between the two. This handbook provides the perfect vehicle for introducing the exciting possibilities S-PLUS S-PLUS 2000 and S-PLUS 6 hold for data analysis. All of the data sets used in the text along with script files giving the command language used in each chapter are available for download from the Internet at http://www.iop.kcl.ac.uk/iop/Departments/BioComp/splus.shtml

GBP 120.00
1

The Biometric Computing Recognition and Registration

The Biometric Computing Recognition and Registration

The Biometric Computing: Recognition & Registration presents introduction of biometrics along with detailed analysis for identification and recognition methods. This book forms the required platform for understanding biometric computing and its implementation for securing target system. It also provides the comprehensive analysis on algorithms architectures and interdisciplinary connection of biometric computing along with detailed case-studies for newborns and resolution spaces. The strength of this book is its unique approach starting with how biometric computing works to research paradigms and gradually moves towards its advancement. This book is divided into three parts that comprises basic fundamentals and definitions algorithms and methodologies and futuristic research and case studies. Features: A clear view to the fundamentals of Biometric Computing Identification and recognition approach for different human characteristics Different methodologies and algorithms for human identification using biometrics traits such as face Iris fingerprint palm print voiceprint etc. Interdisciplinary connection of biometric computing with the fields like deep neural network artificial intelligence Internet of Biometric Things low resolution face recognition etc. This book is an edited volume by prominent invited researchers and practitioners around the globe in the field of biometrics describes the fundamental and recent advancement in biometric recognition and registration. This book is a perfect research handbook for young practitioners who are intending to carry out their research in the field of Biometric Computing and will be used by industry professionals graduate and researcher students in the field of computer science and engineering. | The Biometric Computing Recognition and Registration

GBP 140.00
1

Data Science and Machine LearningMathematical and Statistical Methods

Data Science and Machine LearningMathematical and Statistical Methods

"This textbook is a well-rounded rigorous and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or early graduate level. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth presenting proofs of major theorems and subsequent derivations as well as providing a copious amount of Python code. I only wish a book like this had been around when I first began my journey!"-Nicholas Hoell University of Toronto "This is a well-written book that provides a deeper dive into data-scientific methods than many introductory texts. The writing is clear and the text logically builds up regularization classification and decision trees. Compared to its probable competitors it carves out a unique niche. -Adam Loy Carleton College The purpose of Data Science and Machine Learning: Mathematical and Statistical Methods is to provide an accessible yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science. Key Features: Focuses on mathematical understanding. Presentation is self-contained accessible and comprehensive. Extensive list of exercises and worked-out examples. Many concrete algorithms with Python code. Full color throughout.   Further Resources can be found on the authors website: https://github.com/DSML-book/Lectures

GBP 63.99
1

Sufficient Dimension ReductionMethods and Applications with R

Sufficient Dimension ReductionMethods and Applications with R

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics data visualization machine learning genomics image processing pattern recognition and medicine because they are fields that produce large datasets with a large number of variables. Sufficient Dimension Reduction: Methods and Applications with R introduces the basic theories and the main methodologies provides practical and easy-to-use algorithms and computer codes to implement these methodologies and surveys the recent advances at the frontiers of this field.FeaturesProvides comprehensive coverage of this emerging research field.Synthesizes a wide variety of dimension reduction methods under a few unifying principles such as projection in Hilbert spaces kernel mapping and von Mises expansion.Reflects most recent advances such as nonlinear sufficient dimension reduction dimension folding for tensorial data as well as sufficient dimension reduction for functional data.Includes a set of computer codes written in R that are easily implemented by the readers.Uses real data sets available online to illustrate the usage and power of the described methods.Sufficient dimension reduction has undergone momentous development in recent years partly due to the increased demands for techniques to process high-dimensional data a hallmark of our age of Big Data. This book will serve as the perfect entry into the field for the beginning researchers or a handy reference for the advanced ones. The authorBing Li obtained his Ph.D. from the University of Chicago. He is currently a Professor of Statistics at the Pennsylvania State University. His research interests cover sufficient dimension reduction statistical graphical models functional data analysis machine learning estimating equations and quasilikelihood and robust statistics. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association. He is an Associate Editor for The Annals of Statistics and the Journal of the American Statistical Association.

GBP 34.39
1

The Art of Modeling in Science and Engineering with Mathematica

The Art of Modeling in Science and Engineering with Mathematica

Thoroughly revised and updated The Art of Modeling in Science and Engineering with Mathematica® Second Edition explores the mathematical tools and procedures used in modeling based on the laws of conservation of mass energy momentum and electrical charge. The authors have culled and consolidated the best from the first edition and expanded the range of applied examples to reach a wider audience. The text proceeds in measured steps from simple models of real-world problems at the algebraic and ordinary differential equations (ODE) levels to more sophisticated models requiring partial differential equations. The traditional solution methods are supplemented with Mathematica which is used throughout the text to arrive at solutions for many of the problems presented. The text is enlivened with a host of illustrations and practice problems drawn from classical and contemporary sources. They range from Thomson’s famous experiment to determine e/m and Euler’s model for the buckling of a strut to an analysis of the propagation of emissions and the performance of wind turbines. The mathematical tools required are first explained in separate chapters and then carried along throughout the text to solve and analyze the models. Commentaries at the end of each illustration draw attention to the pitfalls to be avoided and perhaps most important alert the reader to unexpected results that defy conventional wisdom. These features and more make the book the perfect tool for resolving three common difficulties: the proper choice of model the absence of precise solutions and the need to make suitable simplifying assumptions and approximations. The book covers a wide range of physical processes and phenomena drawn from various disciplines and clearly illuminates the link between the physical system being modeled and the mathematical expression that results.

GBP 45.59
1

Fundamentals of Causal Inference With R

Fundamentals of Causal Inference With R

Overall this textbook is a perfect guide for interested researchers and students who wish to understand the rationale and methods of causal inference. Each chapter provides an R implementation of the introduced causal concepts and models and concludes with appropriate exercises. An-Shun Tai & Sheng-Hsuan Lin in BiometricsOne of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is of utmost importance. Fundamentals of Causal Inference explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical models including standardization difference-in-differences estimation the front-door method instrumental variables estimation and propensity score methods. It also covers effect-measure modification precision variables mediation analyses and time-dependent confounding. Several real data examples simulation studies and analyses using R motivate the methods throughout. The book assumes familiarity with basic statistics and probability regression and R and is suitable for seniors or graduate students in statistics biostatistics and data science as well as PhD students in a wide variety of other disciplines including epidemiology pharmacy the health sciences education and the social economic and behavioral sciences. Beginning with a brief history and a review of essential elements of probability and statistics a unique feature of the book is its focus on real and simulated datasets with all binary variables to reduce complex methods down to their fundamentals. Calculus is not required but a willingness to tackle mathematical notation difficult concepts and intricate logical arguments is essential. While many real data examples are included the book also features the Double What-If Study based on simulated data with known causal mechanisms in the belief that the methods are best understood in circumstances where they are known to either succeed or fail. Datasets R code and solutions to odd-numbered exercises are available on the book's website at www. routledge. com/9780367705053. Instructors can also find slides based on the book and a full solutions manual under 'Instructor Resources'. | Fundamentals of Causal Inference With R

GBP 56.99
1

Advanced Mathematical Modeling with Technology

Advanced Mathematical Modeling with Technology

Mathematical modeling is both a skill and an art and must be practiced in order to maintain and enhance the ability to use those skills. Though the topics covered in this book are the typical topics of most mathematical modeling courses this book is best used for individuals or groups who have already taken an introductory mathematical modeling course. Advanced Mathematical Modeling with Technology will be of interest to instructors and students offering courses focused on discrete modeling or modeling for decision making. Each chapter begins with a problem to motivate the reader. The problem tells "what" the issue is or problem that needs to be solved. In each chapter the authors apply the principles of mathematical modeling to that problem and present the steps in obtaining a model. The key focus is the mathematical model and the technology is presented as a method to solve that model or perform sensitivity analysis. We have selected where applicable to the content because of their wide accessibility. The authors utilize technology to build compute or implement the model and then analyze the it. Features: MAPLE© Excel© and R© to support the mathematical modeling process. Excel templates macros and programs are available upon request from authors. Maple templates and example solution are also available. Includes coverage of mathematical programming. The power and limitations of simulations is covered. Introduces multi-attribute decision making (MADM) and game theory for solving problems. The book provides an overview to the decision maker of the wide range of applications of quantitative approaches to aid in the decision making process and present a framework for decision making. Table of Contents 1. Perfect Partners: Mathematical Modeling and Technology 2. Review of Modeling with Discrete Dynamical Systems and Modeling Systems of DDS 3. Modeling with Differential Equations 4. Modeling System of Ordinary Differential Equation 5. Regression and Advanced Regression Methods and Models 6. Linear Integer and Mixed Integer Programming 7. Nonlinear Optimization Methods 8. Multivariable Optimization 9. Simulation Models 10. Modeling Decision Making with Multi-Attribute Decision Modeling with Technology 11. Modeling with Game Theory 12. Appendix Using R Index Biographies Dr. William P. Fox is currently a visiting professor of Computational Operations Research at the College of William and Mary. He is an emeritus professor in the Department of Defense Analysis at the Naval Postgraduate School and teaches a three-course sequence in mathematical modeling for decision making. He received his Ph.D. in Industrial Engineering from Clemson University. He has taught at the United States Military Academy for twelve years until retiring and at Francis Marion University where he was the chair of mathematics for eight years. He has many publications and scholarly activities including twenty plus books and one hundred and fifty journal articles. Colonel (R) Robert E. Burks Jr. Ph.D. is an Associate Professor in the Defense Analysis Department of the Naval Postgraduate School (NPS) and the Director of the NPS’ Wargaming Center. He holds a Ph.D. in Operations Research form the Air Force Institute of Technology. He is a retired logistics Army Colonel with more than thirty years of military experience in leadership advanced analytics decision modeling and logistics operations who served as an Army Operations Research analyst at the Naval Postgraduate School TRADOC Analysis Center United States Military Academy and the United States Army Recruiting Command.

GBP 59.99
1