An Efficient Algorithm for Applied Implementation of Higher-Order Markov Models for Time Series Forecasting-Reference-Cited by-同舟云学术

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An Efficient Algorithm for Applied Implementation of Higher-Order Markov Models for Time Series Forecasting

Published:2024-06-28 Issue: Volume: Page:1870-1873
ISSN:
Container-title:2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM)
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Author:

Belousova Ekaterina E.¹,Rakitskiy Anton²

Affiliation:

1. Novosibirsk State University,Department of Information Technologies,Novosibirsk,Russia

2. Siberian State University of Telecommunications and Information Sciences Institute of Computional Technologies SB RAS Novosibirsk State University,Novosibirsk,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10614947/10614948/10615065.pdf?arnumber=10615065

Reference11 articles.

1. Predictive analytics for demand forecasting: A deep learning-based decision support system

2. Financial time series forecasting with deep learning : A systematic literature review: 2005–2019

3. Time Series Forecasting for Healthcare Diagnosis and Prognostics with the Focus on Cardiovascular Diseases

4. Conformal Prediction Intervals for Markov Decision Process Trajectories;Dietterich

5. Understanding Markov Chains

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