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Browsing Research Publications and Outputs by publication year 
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  • Research Publications and Outputs
  • Browsing Research Publications and Outputs by publication year
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  • University of Sydney Business School
  • Discipline of Business Analytics
  • Research Publications and Outputs
  • Browsing Research Publications and Outputs by publication year
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    • Random Effects Models with Deep Neural Network Basis Functions: Methodology and Computation 

      Tran, Minh-Ngoc; Nguyen, Nghia; Nott, David; Kohn, Robert
      Published 2017-01-01
      Deep neural networks (DNNs) are a powerful tool for functional approximation. We describe flexible versions of generalized linear and generalized linear mixed models incorporating basis functions formed by a deep neural ...
      Open Access
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    • Consistent Estimation of Linear Regression Models Using Matched Data 

      Hirukawa, Masayuki; Prokhorov, Artem
      Published 2017-03-16
      Economists often use matched samples, especially when dealing with earnings data where a number of missing observations need to be imputed. In this paper, we demonstrate that the ordinary least squares estimator of the ...
      Open Access
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    • Endogenous Environmental Variables In Stochastic Frontier Models 

      Amsler, Christine; Prokhorov, Artem; Schmidt, Peter
      Published 2017-04-09
      This paper considers a stochastic frontier model that contains environmental variables that affect the level of inefficiency but not the frontier. The model contains statistical noise, potentially endogenous regressors, ...
      Open Access
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    • Python Language Companion to Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares 

      Leung, Jessica; Matsypura, Dmytro
      Published 2019-11-13
      This Python Language Companion is drafted as a supplement to the book Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares written by Stephen Boyd and Lieven Vandenberghe (referred to here as VMLS). ...
      Open Access
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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
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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
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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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    • 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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    • 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 ...
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