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Nonlinear Modeling Of Economic And Financial Time-Series

and nonlinear modelling of economic and financial time-series. The several discussions of empirical results of its chapters clearly help to;

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Dynamic Econometric Modeling

modeling, nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference. The contents of this;

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International Symposia in Economic Theory and Econometrics

modeling, nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference. The contents of this;

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International Symposia in Economic Theory and Econometrics

modeling, nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference. The contents of this;

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Nonlinear Econometric Modeling in Time Series Analysis

of international symposia, this volume is also part of the European Conference Series in Quantitative Economics and Econometrics (EC)2.;

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Nonlinear Modelling of High Frequency Financial Time Series

Nonlinear Modelling of High Frequency Financial Time Series Edited by Christian Dunis and Bin Zhou In the competitive and risky environment;

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Time Series in Economics and Finance

This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers;

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Time Series in Economics and Finance

This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers;

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Dynamic Models for Volatility and Heavy Tails

principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.;

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Dynamic Models for Volatility and Heavy Tails

principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.;

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Time Series Modeling of Neuroscience Data

approach, in which dynamic models of all kinds, such as linearnonlinear differential equation models and time series models, are used for;

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Nonlinear Statistical Modeling

selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation;

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Modelling Nonlinear Economic Time Series

This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic;

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Modeling Financial Time Series with S-Plus

Master's Program in Computational Finance. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics;

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Wavelet Neural Networks

financial modeling and financial engineering, time series prediction and construction of confidence and prediction intervals, and classification and;

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Nonlinear Economic Models Crosssectional, Time Series and Neural Network Applications

Nonlinear modelling has become increasingly important and widely used in economics. This valuable book brings together recent advances;

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Nonlinear Modeling Analysis and Predistortion Algorithm Research of Radio Frequency Power Amplifiers

modeling (including neural Volterra series modeling, neural network modeling, X-parameter modeling), nonlinear analysis methods, and power;

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Non-Linear Modeling of the Impact of the Crisis on the Interactions Among Financial Markets & Macroeconomic Variables in CEE Countries

issues and the nonlinear relationship between economic growth and finance. Overall, in the present context of the post-financial crisis, this;

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Nonlinear Economic Dynamics and Financial Modelling

This book reflects the state of the art on nonlinear economic dynamics, financial market modelling and quantitative finance. It contains;

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Recent Advances in Estimating Nonlinear Models

Models to analyze economics series, and how best to distinguish between competing nonlinear models. Principles and techniques in this book will;

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Nonlinear Time Series

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;

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Nonlinear Time Series

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;

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New Facets of Economic Complexity in Modern Financial Markets

portfolio optimization techniques, the financial innovation and the trend identification in a nonlinear time-series framework. Presenting the;

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New Facets of Economic Complexity in Modern Financial Markets

portfolio optimization techniques, the financial innovation and the trend identification in a nonlinear time-series framework. Presenting the;

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Economic Time Series

Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and;

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Time Series Analysis

The last decade has brought dramatic changes in the way that researchers analyze economic and financial time series. This book synthesizes;

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State-Space Models

theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series;

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