Theory and Applications of Time Series Analysis Theory and Applications of Time Series Analysis
Contributions to Statistics

Theory and Applications of Time Series Analysis

Selected Contributions from ITISE 2019

Olga Valenzuela and Others
    • $209.99
    • $209.99

Publisher Description

This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time Series and Forecasting (ITISE 2019), held in Granada, Spain, on September 25-27, 2019. The first two parts of the book present theoretical contributions on statistical and advanced mathematical methods, and on econometric models, financial forecasting and risk analysis. The remaining four parts include practical contributions on time series analysis in energy; complex/big data time series and forecasting; time series analysis with computational intelligence; and time series analysis and prediction for other real-world problems. Given this mix of topics, readers will acquire a more comprehensive perspective on the field of time series analysis and forecasting.
The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics. 

GENRE
Business & Personal Finance
RELEASED
2020
20 November
LANGUAGE
EN
English
LENGTH
474
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
68.2
MB

More Books Like This

Advances in Time Series Methods and Applications Advances in Time Series Methods and Applications
2016
Empirical Economic and Financial Research Empirical Economic and Financial Research
2014
Mathematical and Statistical Methods for Actuarial Sciences and Finance Mathematical and Statistical Methods for Actuarial Sciences and Finance
2021
Macroeconomic Forecasting in the Era of Big Data Macroeconomic Forecasting in the Era of Big Data
2019
Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modelling Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modelling
2019
Machine Learning and AI in Finance Machine Learning and AI in Finance
2021

More Books by Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares & Ignacio Rojas

Theory and Applications of Time Series Analysis Theory and Applications of Time Series Analysis
2023
Bioinformatics and Biomedical Engineering Bioinformatics and Biomedical Engineering
2023
Bioinformatics and Biomedical Engineering Bioinformatics and Biomedical Engineering
2023
Theory and Applications of Time Series Analysis and Forecasting Theory and Applications of Time Series Analysis and Forecasting
2023
Bioinformatics and Biomedical Engineering Bioinformatics and Biomedical Engineering
2022
Bioinformatics and Biomedical Engineering Bioinformatics and Biomedical Engineering
2022

Other Books in This Series

Theory and Applications of Time Series Analysis Theory and Applications of Time Series Analysis
2023
Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications
2023
Theory and Applications of Time Series Analysis and Forecasting Theory and Applications of Time Series Analysis and Forecasting
2023
Methodology and Applications of Statistics Methodology and Applications of Statistics
2022
Multivariate, Multilinear and Mixed Linear Models Multivariate, Multilinear and Mixed Linear Models
2021
Theory and Applications of Time Series Analysis Theory and Applications of Time Series Analysis
2019