• Login
Search 
  • DASH Home
  • Faculty of Arts and Sciences
  • FAS Theses and Dissertations
  • Search
  • DASH Home
  • Faculty of Arts and Sciences
  • FAS Theses and Dissertations
  • Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of DASH
  • Communities & Collections
  • By Issue Date
  • Author
  • Title
  • Keyword
  • FAS Department
This Collection
  • By Issue Date
  • Author
  • Title
  • Keyword
  • FAS Department

Submitters

  • Login
  • Quick submit
  • Waiver Generator

Filter

Author
  • Azari Soufiani, Hossein$:$ (1)
Keyword
  • Computer science (1)
  • Demand Estimation (1)
  • Econometrics (1)
  • Economics (1)
  • Machine Learning (1)
  • Random Utility Model (1)
  • Rank Data (1)
  • Statistics$:$ (1)
FAS Department
  • Engineering and Applied Sciences (1)
Date Issued
  • 2014 (1)

About

  • About DASH
  • DASH Stories
  • DASH FAQs
  • Accessibility
  • COVID-related Research
  • Terms of Use
  • Privacy Policy

Statistics

  • By Schools
  • By Collections
  • By Departments
  • By Items
  • By Country
  • By Authors

Search

Show Advanced FiltersHide Advanced Filters

Filters

Use filters to refine the search results.

Now showing items 1-1 of 1

  • Sort Options:
  • Relevance
  • Title Asc
  • Title Desc
  • Issue Date Asc
  • Issue Date Desc
  • Results Per Page:
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
Thumbnail

Revisiting Random Utility Models 

Azari Soufiani, Hossein (2014-06-06)
This thesis explores extensions of Random Utility Models (RUMs), providing more flexible models and adopting a computational perspective. This includes building new models and understanding their properties such as ...

Filter

Author
  • Azari Soufiani, Hossein$:$ (1)
Keyword
  • Computer science (1)
  • Demand Estimation (1)
  • Econometrics (1)
  • Economics (1)
  • Machine Learning (1)
  • Random Utility Model (1)
  • Rank Data (1)
  • Statistics$:$ (1)
FAS Department
  • Engineering and Applied Sciences (1)
Date Issued
  • 2014 (1)

e: osc@harvard.edu

t: +1 (617) 495 4089

Creative Commons license‌Creative Commons Attribution 4.0 International License

Except where otherwise noted, this work is subject to a Creative Commons Attribution 4.0 International License, which allows anyone to share and adapt our material as long as proper attribution is given. For details and exceptions, see the Harvard Library Copyright Policy ©2022 Presidents and Fellows of Harvard College.

  • Follow us on Twitter
  • Contact
  • Harvard Library
  • Harvard University