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      ComputingRemove Computing →

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      • Forthcoming
      • Article

      Slowly Varying Regression Under Sparsity

      By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
      We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research (forthcoming). (Pre-published online March 27, 2024.)
      • Research Summary

      Technological Competition in Computing

      By: Shane M. Greenstein

      On what dimensions do computing platforms compete, and how does that competition help or hinder the deployment of technical standards? What principles shape choices over platform governance, and how do those choices shape competitive outcomes? In this line of... View Details

      • Research Summary

      The Economics of Enterprise IT

      By: Shane M. Greenstein

      Why do some organizations adopt new information systems while others do not? Why do some face high costs while others do not? Professor Greenstein has been pursuing this stream of research throughout his career, analyzing the factors shaping the costs of acquiring... View Details

      • 2024
      • Chapter

      Visionaries and Transformative Product Launches in Computing and Information Business History

      By: Shane Greenstein
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      Greenstein, Shane. "Visionaries and Transformative Product Launches in Computing and Information Business History." In Writing Computer and Information History: Approaches, Connections, and Reflections, by William Aspray. Rowman and Littlefield, forthcoming.
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