A causal model for short‐term time series analysis to predict incoming Medicare workload-Reference-Cited by-同舟云学术

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A causal model for short‐term time series analysis to predict incoming Medicare workload

Published:2020-07-20 Issue:2 Volume:40 Page:228-242
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Mizan Tasquia¹^ORCID,Taghipour Sharareh¹

Affiliation:

1. Department of Mechanical and Industrial Engineering Ryerson University 350 Victoria St Toronto ON M5B 2K3 Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2717

Reference44 articles.

1. Accurate Emergency Department Wait Time Prediction

2. Parallel algorithms for computing the smallest binary tree size in unit simplex refinement

3. The Relative Value Unit: History, Current Use, and Controversies

4. Nonlinear time-series analysis revisited

5. Inferring causal impact using Bayesian structural time-series models

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1. Green Supply Chain Management: A Guide;Springer Proceedings in Business and Economics;2024

2. Medical resource allocation planning by integrating machine learning and optimization models;Artificial Intelligence in Medicine;2022-12

3. ShoTS Forecasting: Short Time Series Forecasting for Management Research;British Journal of Management;2022-06-02

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