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Written by the inventors, Raptor Codes provides an introduction to the theory, design and practical implementation of a class of codes that provide practical value to a large variety of data communication applications. This is essential reading for researchers, engineers and computer scientists implementing data transmission applications.

Spatial panel models have panel data structures to capture spatial interactions across spatial units and over time. There are static as well as dynamic models. Estimation of Spatial Panels provides some recent developments on the specification and estimation of such models.

Discusses a wide variety of the recommender choices available and their implications, providing both practitioners and researchers with an introduction to the important issues underlying recommenders and current best practices for addressing these issues.

Provides an in-depth understanding of the organisational learning curve and why significant differences in the rate of learning exist across organisations. Few studies have "stepped inside the learning curve" to provide greater understanding of the organisational learning process underlying the learning curve.

Highlights the recent advances in algorithms for numerical linear algebra that have come from the technique of linear sketching, whereby given a matrix, one first compressed it to a much smaller matrix by multiplying it by a (usually) random matrix with certain properties.

Merges the theories behind tie strength with the data from social media. The book shows how to reconstruct tie strength from digital traces in online social media, and how to apply it as a tool in design and analysis.

Explores the fundamental subject of source coding. Based on a simple and accessible presentation of the fundamentals of information and rate distortion theory, the authors describe the subjects of entropy coding and quantization as well as predictive and transform coding.

Provides a comprehensive review of the continuous-time modeling techniques of the term structure applicable to value and hedge default-free bonds and other interest rate derivatives. The originality of the survey lies in the fact that it provides a framework in which continuous-time term structure models can be nested and related to each other.

Develops the foundational knowledge related to financial instruments and the markets in which they trade, financial institutions and their internal decision-making and external circumstances, and currently required and credible alternative financial reporting for financial instruments.

Emphasises parallelism between information theory and statistical physics, as well as to the insights, the analysis tools, and techniques that can be borrowed from statistical physics and "imported" to certain problem areas in information theory.

Addresses the question of how strategic firm organisation and accounting measurements affect and are affected by such prevalent concerns of relying on an external input supplier.

Surveys the field of arithmetic circuit complexity, focusing mainly on what the authors find to be the most interesting and accessible research directions. They cover the main results and techniques, with an emphasis on works from the last two decades.

A simulation-based methodology of chip-level radiation-induced soft error rates that is fast and reasonably accurate is crucial to the reliability and success of a final product. This book summarises selected publications that are deemed relevant by the author to enable a truly chip-level radiation-induced soft error rate estimation methodology.

Overviews the historical relationship between HCI and international development, compares their disciplinary approaches, and suggests that both sides would gain from ongoing interaction. These issues are discussed with specific examples from published papers and several well-known projects that apply HCI to development.

Explores the contributions of behavioral economics, laboratory experiments, and field experiments to our understanding of the economics of trust, trustworthiness, and reciprocal behavior. This monograph concludes with a summary of theory and experiments that have identified trust and reciprocity in economics and human behaviour.

The ways in which managers communicate information to capital market participants go far beyond financial statement numbers. Managers communicate economically relevant information both verbally, in documents distributed and available to investors, and non-verbally, through meetings and conference calls with analysts and investors. Over the past five years, the advances in computational linguistic software and the availability of large repositories of corporate text have facilitated an explosion of studies examining the information contained in verbal communication from management. Speech Analysis in Financial Markets reviews research on the information contained in nonverbal communication that occurs in organizational contexts and explores ways in which accounting researchers can draw useful insights from investigating managerial nonverbal communication. It focuses on non-verbal communication from voice with a particular emphasis on discussing voice analysis from the standpoint of a researcher interested in conducting empirical archival assessments. After an introduction, section 2 discusses the research approaches to speech analysis and the importance of identifying speech corpus. Section 3 reviews the existing literature on voice analysis in accounting and finance primarily focused on management communication. Section 4 details the challenges to the literature, and offers some directions for future research, and section 5 offers concluding remarks.

As the Web allows information sharing, discovery, aggregation, filtering and flow in an unprecedented manner, it becomes difficult to identify the original source that produced information. This survey contends that provenance can and should reliably be tracked and exploited, and investigates the necessary foundations to achieve this.

Provides a summary of the relevant mathematical theory, a historic perspective of some important symmetry-related ideas, a partial report on the state of the arts symmetry detection algorithms along with its first quantitative benchmark, a diverse set of real world applications, suggestions for future directions, and a comprehensive reference list.

Covers variability macro-modeling for logic modules, system level variability analysis for multi-core systems, and system level variability mitigation techniques. The book uses illustrative and detailed examples to help explain the various techniques covered. It concludes with some pointers to future work.

Provides a survey of the Bayesian methods used in modern empirical macroeconomics. The book reviews and extends the Bayesian literature on VARs, TVP-VARs and TVP-FAVARs with a focus on the practitioner. The authors go beyond simply defining each model, but specify how to use them in practice.

Deals with the formalization of the design of mixed hardware/software systems. The book advocates rigorous system design as a coherent and accountable model-based process leading from requirements to correct implementations.

In Venture Capital Investors and Portfolio Firms venture capital firms are considered as investors in young growth-oriented companies. The authors focus on the later phases of the venture capital (VC) investment process. They therefore emphasize monitoring, value adding, and exiting activities. They also include a review of the literature on the outcome of venture capital investment activities. Research findings are drawn principally from refereed journal papers in entrepreneurship, finance, and management. The monograph is divided into six principal areas: 1. What venture capital firms do. 2. The impact of VCs on portfolio firms and other stakeholders. 3. The role of syndication. 4. The nature and timing of exit from VC investments. 5. The role of VCs in portfolio companies that undergo an initial public offering (IPO). 6. The returns from investing in VC. Venture Capital Investors and Portfolio Firms concludes with a detailed agenda for further research. To aid the reader who wishes to pursue particular papers in more detail, the authors provide a summary of the main papers in this literature in a set of tables where they identify the authors, publication date, the journal, the main research question, the theoretical perspective, data, and the principal findings.

The central theme of Competition and Cost Accounting is that strategic considerations may make it desirable for a firm to have divisions and Product managers internalize something other than their true costs.

Surveys the research conducted and explains the methods and measures devised for evaluation of retrieval systems, including a detailed look at the use of statistical significance testing in retrieval experimentation.

Intellectual property and the patent system in particular have garnered a lot of attention, even in the public media, over the last few years. This monograph is not concerned with any of the controversial issues regarding the patent system itself but it does examine a very real and growing problem: searching for innovation.

Examines existing literature and builds on the current theoretical developments across different research domains to develop a set of research propositions delineating the impact of product assortment on consumer choice.

Describes a number of the central attributes and applications of behavioural law and economics to date. The book does not embrace every area in which behavioral economics has become influential in legal policy, but it does seek to give a representative sample of the burgeoning modern field of behavioural law and economics.

Provides a comprehensible introduction to determinantal point processes (DPPs), focusing on the intuitions, algorithms, and extensions that are most relevant to the machine learning community, and shows how DPPs can be applied to real-world applications.

Incidence theorems describe the way lines, points and other geometric objects intersect each other. Theorems of this sort have found a large number of exciting applications in the past few decades, both in mathematics and in theoretical computer science. This book presents some of the seminal results in this area as well as recent developments.