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

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...

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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 basin

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 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,...

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Multivariate Time Series Analysis 2020

Multivariate 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....

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Adversarial Examples in Deep Learning for Multivariate Time Series Regression

Adversarial 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...

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