Work

Analytics of Business Time Series Using Machine Learning and Bayesian Inference

Year: 2022

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2205.12905

Author: Pavlyshenko, Bohdan M.

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4281896407

Cites:

Cited by: 2

Related to: 10