Multivariate Time Series Forecasting
In a nutshell, multivariate time series forecasting tries to extract information from many different types of data - so it's a way for you to use your company's experiences across multiple channels and retailers to give really good predictions about what might happen. -- Multivariate Time Series Forecasting is a technique for extracting information from one type of data - say store visits- and using it as an indicator that others types of data -say foot traffic counts- will also be changing in that same direction. It captures the correlation between two or more datasets with a mathematical methodology called "autoregression", "autoregressive moving average models", “Econometric Multiple Linear Regression Model”, "prediction markets." All these techniques are not new
Application of Multivariate Time Series Cluster Analysis to Regional Socioeconomic Indicators of Municipalities
Asamoah, R. O., Baiden, B. K., Nani, G., & Kissi, E. (2019). Review of exogenous economic indicators influencing construction industry. Advances in Civil Engineering, 2019, 1–8. Advance online publication. https://doi.org/10.1155/2019/6073289 Search in Google Scholar Athey, S. (2019). The Impact of Machine Learning on Economics. The Economics of Artificial Intelligence: An...
Read moreMAKE | Free Full-Text | Explainable AI Framework for Multivariate Hydrochemical Time Series
The understanding of water quality and its underlying processes is important for the protection of aquatic environments. With the rare opportunity of access to a domain expert, an explainable AI (XAI) framework is proposed that is applicable to multivariate time series. The XAI provides explanations that are interpretable by domain...
Read moreInvestigation of the performance and accuracy of multivariate time series models in predicting electrical conductivity and total dissolved solid values of the rivers of Urmia lake basin
مشخصات نویسندگان مقاله Investigation of the performance and accuracy of multivariate time series models in predicting electrical conductivity and total dissolved solid values of the rivers of Urmia lake basinMohammad Soleimani - Ph.D. in Water Science and Engineering, Directorate of Piranshahr health center, Urmia University of MedicalSciences, Jahad Ave., Urmia,...
Read moreMultivariate Time Series Analysis 2020
Master course on multivariate time series econometrics. Brief repetition of concepts of univariate time series analysis; stationary vector autoregressive (VAR) processes: basics, estimation, lag order selection, specification testing, forecasting; structural VAR models: various methods for identifying macroeconomic shocks; non-stationary/integrated processes: spurious correlation vs. cointegration, error correction models; multivariate GARCH models....
Read moreAdversarial Examples in Deep Learning for Multivariate Time Series Regression
Adversarial Examples in Deep Learning for Multivariate Time Series Regression. Mode, G. R. & Hoque, K. A. In 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1-10, 2020. Paper doi bibtex @INPROCEEDINGS{9425190, author={Mode, Gautam Raj and Hoque, Khaza Anuarul}, booktitle={2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)}, title={Adversarial Examples in Deep...
Read moreA Neural Networks Based Method for Multivariate Time-Series Forecasting | IEEE Journals & Magazine
A Neural Networks Based Method for Multivariate Time-Series Forecasting | IEEE Journals & Magazine | IEEE Xplore Skip to Main Content Source link
Read moreLarge Multivariate Time Series Forecasting: Survey on Methods and Scalability: Business & Management Book Chapter
Research on the analysis of time series has gained momentum in recent years, as knowledge derived from time series analysis can improve the decision-making process for industrial and scientific fields. Furthermore, time series analysis is often an essential part of business intelligence systems. With the growing interest in this topic,...
Read moreForecasting of Multivariate Time Series via Complex Fuzzy Logic | IEEE Journals & Magazine
Forecasting of Multivariate Time Series via Complex Fuzzy Logic | IEEE Journals & Magazine | IEEE Xplore Skip to Main Content Source link
Read moreInterpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks | IEEE Conference Publication
Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks | IEEE Conference Publication | IEEE Xplore Skip to Main Content Source link
Read morePeriodic Neural Networks for Multivariate Time Series Analysis and Forecasting | IEEE Conference Publication
Periodic Neural Networks for Multivariate Time Series Analysis and Forecasting | IEEE Conference Publication | IEEE Xplore Skip to Main Content Source link
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