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Time Series and Dynamic Models

mathematical tools. Section three is the heart of the book, and is devoted to a range of important topics including causality, exogeneity shocks;

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Time Series And Dynamic Models

mathematical tools. Section three is the heart of the book, and is devoted to a range of important topics including causality, exogeneity shocks;

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Time Series Models, Causality and Exogeneity

. Sarjent, L.H. Summers and C.R. Wymer. This particular volume deals with the time series models.;

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Econometrics of Qualitative Dependent Variables

mathematical tools. Section three is the heart of the book, and is devoted to a range of important topics including causality, exogeneity shocks;

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Causality In Macroeconomics

(with and without regime-switching). These ideas help to clarify philosophical as well as economic issues. The structural approach to causality;

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Time Series and Panel Data Econometrics

This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial;

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Time and Causality across the Sciences

This book, geared toward academic researchers and graduate students, brings together research on all facets of how time and causality;

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Exploratory Causal Analysis with Time Series Data

need has led to the development of many different time series causality approaches and tools including transfer entropy, convergent cross;

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Analysis Of Panel Data

of human behavior as compared to cross-sectional or time series data models. As a consequence, richer panel data sets also have become increasingly;

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Time Series Modeling of Neuroscience Data

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

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Design and Analysis of Time Series Experiments

Design and Analysis of Time Series Experiments presents the elements of statistical time series analysis while also addressing recent;

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Diagnostic Methods in Time Series

econometrics, and the result is applicable to causality tests of heavy-tailed time series models. In the last two sections, Bartlett-type adjustments;

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Causality, Correlation And Artificial Intelligence For Rational Decision Making

it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation;

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Characterizing Interdependencies of Multiple Time Series

of multiple time series in the frequency domain. Detecting causal directions between a pair of time series and the extent of their effects, as well as;

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Time Series Analysis in Climatology and Related Sciences

, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data. As an important;

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Time Series Models

another level from the first book, focusing on the estimation, testing, and specification of both univariate and multivariate time series models;

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Methodology And Practice Of Econometrics

properties of time series data, model selection and model evaluation, forecasting, policy analysis, exogeneity and causality, and encompassing. The;

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Essays on the Structure of Social Science Models

A set of related papers dealing with the meaning of causality in simulataneous dynamic equation systems. Investigation of the systems which;

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Essays in Econometrics

of time series analysis. The papers assembled in this volume explore topics in causality, integration and cointegration, and long memory. Those;

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Machine Learning and AI in Finance

multivariate time series into different market states, proposing a multivariate distance nonlinear causality test and filtering out false investment;

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Dynamic Econometrics

This book confronts the practical problems of modelling aggregate time series data, in a systematic and intergrated framework. The main;

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Non-Gaussian Autoregressive-Type Time Series

This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data. This book collects and collates;

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Unobserved Components and Time Series Econometrics

This volume presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and;

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A Course in Time Series Analysis

New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time;

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Advanced Time Series Data Analysis

, and triple time-series, which are developed by taking into account specific growth patterns of each dependent variables, starting with the;

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Introduction to Time Series Modeling

In time series modeling, the behavior of a certain phenomenon is expressed in relation to the past values of itself and other covariates;

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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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