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Sloan School of Management

 

Through innovative research, MIT Sloan faculty create and redefine ideas at the forefront of management theory and practice around the globe.

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Recent Submissions

  • Modeling human dynamics and lifestyles using digital traces 
    Xu, Sharon (Massachusetts Institute of Technology, 2018)
    In this thesis, we present algorithms to model and identify shared patterns in human activity with respect to three applications. First, we propose a novel model to characterize the bursty dynamics found in human activity. ...
  • Applications of healthcare analytics in reducing hospitalization days 
    Furtado, Jazmin D. (Jazmin Dahl) (Massachusetts Institute of Technology, 2018)
    In this thesis, we employ healthcare analytics to inform system-level changes at Massachusetts General Hospital that could lead to a significant reduction in avoidable hospitalization days and improvement in patients ...
  • Sparse learning : statistical and optimization perspectives 
    Dedieu, Antoine (Massachusetts Institute of Technology, 2018)
    In this thesis, we study the computational and statistical aspects of several sparse models when the number of samples and/or features is large. We propose new statistical estimators and build new computational algorithms ...
  • Regulating exploration in multi-armed bandit problems with time patterns and dying arms 
    Tracà, Stefano (Massachusetts Institute of Technology, 2018)
    In retail, there are predictable yet dramatic time-dependent patterns in customer behavior, such as periodic changes in the number of visitors, or increases in customers just before major holidays. The standard paradigm ...
  • Operational decisions and learning for multiproduct retail 
    Pixton, Clark (Clark Charles) (Massachusetts Institute of Technology, 2018)
    We study multi-product revenue management problems, focusing on the role of uncertainty in both the seller and the customer decision processes. We begin by considering a logit model framework for personalized revenue ...
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