Time Series Prediction

Time Series Prediction
Author: Andreas S. Weigend
Publisher: Routledge
Total Pages: 665
Release: 2018-05-04
Genre: Social Science
ISBN: 042997227X


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The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.


Time Series Prediction
Language: en
Pages: 665
Authors: Andreas S. Weigend
Categories: Social Science
Type: BOOK - Published: 2018-05-04 - Publisher: Routledge

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The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques
Forecasting: principles and practice
Language: en
Pages: 380
Authors: Rob J Hyndman
Categories: Business & Economics
Type: BOOK - Published: 2018-05-08 - Publisher: OTexts

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Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic
Time Series Forecasting in Python
Language: en
Pages: 454
Authors: Marco Peixeiro
Categories: Computers
Type: BOOK - Published: 2022-11-15 - Publisher: Simon and Schuster

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Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In
Time-Series Prediction and Applications
Language: en
Pages: 242
Authors: Amit Konar
Categories: Technology & Engineering
Type: BOOK - Published: 2017-03-25 - Publisher: Springer

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This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It als
Grammar-Based Feature Generation for Time-Series Prediction
Language: en
Pages: 105
Authors: Anthony Mihirana De Silva
Categories: Technology & Engineering
Type: BOOK - Published: 2015-02-14 - Publisher: Springer

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This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learn