Bin Li

Daniel Griffith

Yongwan Chun

Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter. This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre. Reviews the uses of ESF across linear regression, generalized linear regression, spatial autocorrelation measurement, and spatially varying coefficient models Includes computer code and template datasets for further modeling Provides comprehensive coverage of related concepts in spatial data analysis and spatial statistics

Spatial Regression Analysis Using Eigenvector Spatial Filtering

Wei Chen

Fang Chen

Li Wang

Weibin Bai

Chi Shu

This book summarizes the current knowledge of anthocyanins, provides systematic information for future exploration of anthocyanin applications. It focuses on several aspects regarding the studying progression in the field of anthocyanins. The first section of the book provides a brief introduction to the scope and progress on anthocyanins, which is followed by the second section that describes the natural sources, structure, extraction approaches, bioavailability, and current stabilizing approach of anthocyanins. Then in the third part, the book focuses on the industrial processing of anthocyanins in foods by discussing the impact of food processing on anthocyanin structure and composition as well as classical processing techniques on anthocyanin-containing foods, including high-pressure, encapsulation, microwave, and combined application of the above techniques. In the last section of the book, the authors explore the currently most popular application of anthocyanins in improving human health, such as the effect of anthocyanin on vision, metabolism, neural system, cardiovascular system, and cancers. The book will facilitate readers’ understanding of the progress of anthocyanin studies. And it will benefit researchers and graduate students in the fields of natural products, functional food, and nutrition, etc.

Chemistry, Processing & Bioactivity

Anthocyanins

Yi Tang

This book addresses selected practical applications and recent developments in the areas of quantitative financial modeling in derivatives instruments, some of which are from the authorsOCO own research and practice. While the primary scope of this book is the fixed-income market (with further focus on the interest rate market), many of the methodologies presented also apply to other financial markets, such as the credit, equity, and foreign exchange markets. This book, which assumes that the reader is familiar with the basics of stochastic calculus and derivatives modeling, is written from the point of view of financial engineers or practitioners, and, as such, it puts more emphasis on the practical applications of financial mathematics in the real market than the mathematics itself with precise (and tedious) technical conditions. It attempts to combine economic insights with mathematics and modeling so as to help the reader develop intuitions. In addition, the book addresses the counterparty credit risk modeling, pricing, and arbitraging strategies, which are relatively recent developments and are of increasing importance. It also discusses various trading structuring strategies and touches upon some popular credit/IR/FX hybrid products, such as PRDC, TARN, Snowballs, Snowbears, CCDS, credit extinguishers."

In the Presence of Counterparty Credit Risk for the Fixed-Income Market

Quantitative Analysis, Derivatives Modeling, and Trading Strategies

Umar Zakir Abdul Hamid

Yanjun Huang

Volkan Sezer

Muhammad Aizzat Zakaria

Path Planning (PP) is one of the prerequisites in ensuring safe navigation and manoeuvrability control for driverless vehicles. Due to the dynamic nature of the real world, PP needs to address changing environments and how autonomous vehicles respond to them. This book explores PP in the context of road vehicles, robots, off-road scenarios, multi-robot motion, and unmanned aerial vehicles (UAVs ).

Ensuring Reliable Driverless Navigation and Control Maneuver

Path Planning for Autonomous Vehicle

Referencing more than 40 ancient works as well as 70 books and papers of contemporary scholars, this book opens up the civilization, society, culture and communication of the Tang Dynasty. The Tang period represented unprecedented prosperity in the ancient world. Combining the socio-cultural background of ancient China and academic achievements of modern times, this book presents an intensive and in-depth exploration of the communicative organisations, methods and ideas of that period. The book looks at Tang methods of communication, from the postal delivery system and first newspaper to military communication in times of peace and war. It also considers questions of literature, poetry and public space as well as the impact of folk culture and communication on the Tang Dynasty, and examines the intellectual atmosphere of the time and debates surrounding freedom of speech and thought, positioning the Tang Dynasty as the end of the classic world and the beginning of modern society.

Discovering the Tang Dynasty (618–907)

Communication, Civilization and China

Xin Yao

Hujun Yin

Yang Gao

Minho Lee

Thomas Weise

Ke Tang

Frank Klawonn

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.

14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013, Proceedings

Intelligent Data Engineering and Automated Learning -- IDEAL 2013

Bin Li

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