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Handbook of Computational Statistics
The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.
Handbook of Computational Statistics
The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active researc...
Nonlinear Econometric Modeling in Time Series
This book presents some of the more recent developments in nonlinear time series, including Bayesian analysis and cointegration tests.
Balance of Payments, Exchange Rates, and Competitiveness in Transition Economies
Integrating transition economies into the global commercial and trade market system is a prolonged and risky process. This book is a collection of studies dealing with the different issues related to the liberalization of external relations in economies moving from a socialist to a market-based system The focus is on external sector developments, and the topics deal with balance of payments conditions, exchange rate policies and regimes, international competitiveness, international capital flows, trade, and other matters related to the integration of transition economies into the world economy. An understanding of the principles involved and of the experiences of both transition and advanced...
Locating BRICS in the Global Order
BRICS is conceivably the most formidable organisation to have emerged in the post-Cold War period in the non-Western world. This book highlights the significance of BRICS in a wider global context and foregrounds the long-pending demand for the reform of global governance institutions. The volume: • Traces how the organisation came into being and looks at the distinct norms and principles espoused by it • Discusses the glaring limitations of the existing institutions of global governance • Explores the economic growth and the rising political influence of BRICS states • Analyses the internal threats to the survival of the organisation and assesses its prospects in the foreseeable future. A significant intervention in situating BRICS as one of the major players in global governance, the book will be of great interest to students and scholars of international political economy, international business and finance, international relations, politics, and Global South Studies.
Wavelet Applications in Economics and Finance
This book deals with the application of wavelet and spectral methods for the analysis of nonlinear and dynamic processes in economics and finance. It reflects some of the latest developments in the area of wavelet methods applied to economics and finance. The topics include business cycle analysis, asset prices, financial econometrics, and forecasting. An introductory paper by James Ramsey, providing a personal retrospective of a decade's research on wavelet analysis, offers an excellent overview over the field.
Introduction to Modern Time Series Analysis
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.
Contributions to Econometric Theory and Application
The purpose of this volume is to honour a pioneer in the field of econometrics, A. L. Nagar, on the occasion of his sixtieth birthday. Fourteen econometricians from six countries on four continents have contributed to this project. One of us was his teacher, some of us were his students, many of us were his colleagues, all of us are his friends. Our volume opens with a paper by L. R. Klein which discusses the meaning and role of exogenous variables in struc tural and vector-autoregressive econometric models. Several examples from recent macroeconomic history are presented and the notion of Granger-causality is discussed. This is followed by two papers dealing with an issue of considerable re...
