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  • Recent submissions
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  • The University of Sydney
  • University of Sydney Business School
  • Discipline of Business Analytics
  • Research Publications and Outputs
  • Recent submissions
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Research Publications and Outputs: Recent submissions

    • The Online Shortest Path Problem: Learning Travel Times Using a Multiarmed Bandit Framework 

      Lagos, Tomas; Auad, Ramon; Lagos, Felipe
      Published 2024
      In the age of e-commerce, logistics companies often operate within extensive road networks without accurate knowledge of travel times for their specific fleet of vehicles. Moreover, millions of dollars are spent on routing ...
      Article
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    • Closed-Form Solutions for Distributionally Robust Inventory Management: A Controlled Relaxation Method 

      Li, Zhaolin; Qi (Grace), Fu; Chung-Piaw, Teo
      Published 2023
      When only the moments (mean, variance or t-th moment) of the underline distribution are known, a variety of many max-min optimization models choose actions to maximize the firm’s expected profit against the most unfavorable ...
      Working Paper
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    • Closed-Form Solutions for Distributionally Robust Inventory Management: Extended Reformulation using Zero-Sum Game 

      Li, Zhaolin; Qi, Fu; Chung-Piaw, Teo
      Published 2022-07-27
      When only the moments (mean, variance or t-th moment) of the underline distribution are known, numerous max-min optimization models can be interpreted as a zero-sum game, in which the decision maker (DM) chooses actions ...
      Open Access
      Article
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    • Managing Inventory and Financing Decisions Under Ambiguity 

      Li, Zhaolin; Qian, Cheng
      Published 2022-08-30
      Micro, small and medium-sized enterprises (MSMEs) face persistent challenges in raising capitals, and one of the practical reasons could be the high level of ambiguity in this sector. As many not-for-profit organizations ...
      Working Paper
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    • Higher Moment Constraints for Predictive Density Combinations 

      Pauwels, Laurent; Radchenko, Peter; Vasnev, Andrey
      Published 2020-05-01
      The majority of financial data exhibit asymmetry and heavy tails, which makes forecasting the entire density critically important. Recently, a forecast combination methodology has been developed to combine predictive ...
      Open Access
      Article
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