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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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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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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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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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Modelling Nonlinear Economic Relationships

explanatory variables and the lagged dependent variable in nonlinear form. The book concentrates on stochastic series, since the existence;

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Modelling Trends and Cycles in Economic Time Series

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic;

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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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Modelling Trends and Cycles in Economic Time Series

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic;

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Modelling Trends and Cycles in Economic Time Series

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic;

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International Symposia in Economic Theory and Econometrics

The contents of this volume comprise the proceedings of the International Symposia in Economic Theory and Econometrics conference held;

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Nonlinear Time Series Analysis with R

Nonlinear Time Series Analysis with R provides a practical guide to emerging empirical techniques allowing practitioners to diagnose;

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Modelling and Forecasting Financial Data

nonlinear time series analysis and signal processing.;

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Nonlinear Time Series Analysis

A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series;

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TIME SERIES ANALYSIS AND MACROECONOMETRIC MODELLING

of economic time series, large-scale macroeconometric modelling, and the interface between them.The first part deals with time-series econometrics and;

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Nonlinear Ocean Waves and the Inverse Scattering Transform

of linear wave trains. Nonlinear Ocean Waves and the Inverse Scattering Transform presents the development of the nonlinear Fourier analysis;

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Econometric Modelling Financ Time Series

. Particular attention is paid to the wide range of nonlinear models that are used to analyse financial data observed at high frequencies and to the;

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Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles

of improvements in building chaotic models are presented: nonlinear time series analysis, multi-step prediction, phase space dimensionality reduction;

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Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles

of improvements in building chaotic models are presented: nonlinear time series analysis, multi-step prediction, phase space dimensionality reduction;

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Model-based Nonlinear Control of Aeroengines

throughout the literature. It is time to provide a comprehensive summary of model-based nonlinear controls. Consequently, a series of important;

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Non-Linear Time Series

This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book;

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Nonlinear Economic Dynamics

This book focuses on recent advances made in the field of non-linear dynamic modelling in economics. Mathematically, linearity is a very;

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Bayesian Methods for Nonlinear Classification and Regression

, regression splines, and neural networks.* Emphasis is placed on sound implementation of nonlinear models.* Discusses medical, spatial, and economic;

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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 Statistical Modeling

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

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Recent Advances in Nonlinear Dynamics and Synchronization

This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical;

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Chaos Theory in Economics

used to stimulate nonlinear economic phenomena. The final papers apply these methods to a number of economic time series. The editor has;

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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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