Time series analysis and forecasting : selected contributions from ITISE 2017 /: selected contributions from ITISE 2017. (2018)
- Record Type:
- Book
- Title:
- Time series analysis and forecasting : selected contributions from ITISE 2017 /: selected contributions from ITISE 2017. (2018)
- Main Title:
- Time series analysis and forecasting : selected contributions from ITISE 2017
- Further Information:
- Note: Edited by Ignacio Rojas, Héctor Pomares, Olga Valenzuela.
- Editors:
- Rojas, Ignacio
Pomares, Héctor
Valenzuela, Olga - Other Names:
- International Work-Conference on Time Series
- Contents:
- Preface -- Advanced Mathematical Methodologies in Time Series -- Forecasting via Fokker-Planck using conditional probabilities -- Cryptanalysis of a Random Number Generator Based on a Chaotic Ring Oscillator -- Further Results on Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors -- A New Estimation Technique for AR(1) Model with Long-tailed Symmetric Innovations -- Prediction of High-Dimensional Time Series with Exogenous Variables Using Generalized Koopman Operator Framework in Reproducing Kernel Hilbert Space -- Eigenvalues distribution limit of covariance matrices with AR processes entries -- Computational Intelligence Methods for Time Series -- Deep Learning for Detection of BGP Anomalies -- Using Scaling Methods to Improve Support Vector Regression's Performance for Travel Time and Traffic Volume Predictions -- Dimensionality Reduction and Similarity Measures in Time Series -- Linear Trend Filtering via Adaptive Lasso -- Detecting Discords in Quasi Periodic Time-series Data -- A Case Study with Electrocardiogram Data -- Similarity Analysis of Time Interval Data Sets -- A Graph Theory Approach -- Logical Comparison Measures in Classification of Data -- Econometric Models -- Asymptotic and Bootstrap Tests For a Change in Autoregression Omitting Variability Estimation -- Distance Between VARMA Models and its Application to Spatial Differences Analysis in the Relationship GDP -- Unemployment Growth Rate in Europe --Preface -- Advanced Mathematical Methodologies in Time Series -- Forecasting via Fokker-Planck using conditional probabilities -- Cryptanalysis of a Random Number Generator Based on a Chaotic Ring Oscillator -- Further Results on Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors -- A New Estimation Technique for AR(1) Model with Long-tailed Symmetric Innovations -- Prediction of High-Dimensional Time Series with Exogenous Variables Using Generalized Koopman Operator Framework in Reproducing Kernel Hilbert Space -- Eigenvalues distribution limit of covariance matrices with AR processes entries -- Computational Intelligence Methods for Time Series -- Deep Learning for Detection of BGP Anomalies -- Using Scaling Methods to Improve Support Vector Regression's Performance for Travel Time and Traffic Volume Predictions -- Dimensionality Reduction and Similarity Measures in Time Series -- Linear Trend Filtering via Adaptive Lasso -- Detecting Discords in Quasi Periodic Time-series Data -- A Case Study with Electrocardiogram Data -- Similarity Analysis of Time Interval Data Sets -- A Graph Theory Approach -- Logical Comparison Measures in Classification of Data -- Econometric Models -- Asymptotic and Bootstrap Tests For a Change in Autoregression Omitting Variability Estimation -- Distance Between VARMA Models and its Application to Spatial Differences Analysis in the Relationship GDP -- Unemployment Growth Rate in Europe -- Copulas for Modeling the Relationship between the Inflation and the Exchange Rates -- Energy Time Series Forecasting -- Fuel Consumption Estimation for Climbing Phase -- Time Series Optimization for Energy Prediction in Wi-Fi Infrastructures -- An econometric analysis of the merit order effect in electricity spot price: the Germany case -- Forecasting in Real Problems -- The analysis of variability of short data sets based on Mahalanobis distance calculation and surrogate time series testing -- On generalized additive models with dependent time series covariates -- A Bayesian Approach to Astronomical Time Delay Estimations -- Further Results on a Modified EM Algorithm for Parameter Estimation in Linear Models with Time-Dependent Autoregressive and t-Distributed Errors. … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource (XIII, 340 pages), 102 illustrations, 60 illustrations in color
- Subjects:
- 519.5/5
Statistics
Time-series analysis -- Congresses
MATHEMATICS -- Applied
MATHEMATICS -- Probability & Statistics -- General
Time-series analysis
Business & Economics -- Econometrics
Computers -- Mathematical & Statistical Software
Econometrics
Maths for computer scientists
Probability & statistics
Econometrics
Computer science
Distribution (Probability theory)
Business & Economics -- Statistics
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 3319969447
9783319969442 - Related ISBNs:
- 9783319969435
3319969439 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.336103
- Ingest File:
- 02_335.xml