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Forecasting Economic Time Series using Locally Stationary Processes

Stationarity has always played an important part in forecasting theory. However, some economic time series show time-varying;

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Forecasting Economic Time Series

established formally for constant-parameter stationary processes and correctly-specified models often do not hold when unrealistic assumptions are;

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Forecasting Economic Time Series

established formally for constant-parameter stationary processes and correctly-specified models often do not hold when unrealistic assumptions are;

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Multivariate Modelling of Non Stationary Economic Time Series

This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on;

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Time Series Analysis and Forecasting by Example

the fundamental techniques in time series analysis using various examples. By introducing necessary theory through examples that showcase the;

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Modelling Nonlinear Economic Time Series

-economic data. Since estimation of nonlinear time series models is carried out using numerical algorithms, the book contains a chapter on;

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Introduction to Time Series and Forecasting

This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics;

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Applied Economic Forecasting using Time Series Methods

forecasting problems. Applied Economic Forecasting using Time Series Methods starts with a brief review of basic regression analysis with a focus on;

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Time Series Econometrics

This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first;

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Statistical Inference for Financial Engineering

processes, non-linear processes, long-memory processes, locally stationary processes etc. are introduced and their optimal estimation is considered;

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Time Series Models for Business and Economic Forecasting

The econometric analysis of economic and business time series is a major field of research and application. The last few decades have;

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Time Series Forecasting using Deep Learning

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Time Series Algorithms Recipes

-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical;

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Time Series Analysis and Forecasting using Python & R

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Economic Forecasting and Policy

Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range;

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Economic Forecasting and Policy

Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range;

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Practical Time Series Forecasting

Practical Time Series Forecasting is a hands-on introduction to quantitative forecasting of time series. Quantitative forecasting is an;

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Hands-On Time Series Analysis with R

Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series;

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Multiscale Forecasting Models

-stationary processes which combine pre-processing techniques with conventional forecasters, some pre-processing techniques broadly implemented are;

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Multiscale Forecasting Models

-stationary processes which combine pre-processing techniques with conventional forecasters, some pre-processing techniques broadly implemented are;

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Practical Time Series Forecasting with R

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series;

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Time Series Models for Business and Economic Forecasting

exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations;

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Time Series Models for Business and Economic Forecasting

exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations;

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Economic Forecasting

Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range of theories as well;

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Economic Forecasting

Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range of theories as well;

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Introduction to Time Series Modeling

stationary time series models, such as AR and ARMA models, as well as nonstationary time series models, including the locally stationary AR model;

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Business Cycles, Indicators, and Forecasting

performance of economic forecasts, using data collected from a quarterly survey of macroeconomic forecasters from 1968 through 1990. Strengths and;

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