Analytics of Business Time Series Using Machine Learning and Bayesian Inference

Autor:	Pavlyshenko, Bohdan M.
Rok vydání:	2022
Předmět:	Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	In the survey we consider the case studies on sales time series forecasting, the deep learning approach for forecasting non-stationary time series using time trend correction, dynamic price and supply optimization using Q-learning, Bitcoin price modeling, COVID-19 spread impact on stock market, using social networks signals in analytics. The use of machine learning and Bayesian inference in predictive analytics has been analyzed. Comment: Survey article. arXiv admin note: text overlap with arXiv:2201.02034, arXiv:2201.02058, arXiv:2201.02729, arXiv:2201.02049, arXiv:2004.01489
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2205.12905 Zobrazit plný text záznamu View this record from Arxiv