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  • All HBS Web  (1,114)
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  • All HBS Web  (1,114)
    • People  (1)
    • News  (177)
    • Research  (623)
    • Events  (18)
    • Multimedia  (5)
  • Faculty Publications  (377)
← Page 9 of 1,114 Results →
  • 07 Feb 2013
  • News

The case for having a founder run the business

  • December 1999 (Revised January 2002)
  • Background Note

Overview of the Project Finance Market, An

By: Benjamin C. Esty, Suzanne I. Harris and Kathleen G. Krueger
This case introduces the field of project finance and supplies a statistical overview of the project finance market as of the mid=to late 1990s. It consists of four sections. The first section defines project finance and contrasts it with other well-known forms of... View Details
Keywords: Markets; Investment; Projects; Project Finance
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Esty, Benjamin C., Suzanne I. Harris, and Kathleen G. Krueger. "Overview of the Project Finance Market, An." Harvard Business School Background Note 200-028, December 1999. (Revised January 2002.)
  • June 2021
  • Technical Note

Introduction to Linear Regression

By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details
Keywords: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science
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Parzen, Michael, and Paul Hamilton. "Introduction to Linear Regression." Harvard Business School Technical Note 621-086, June 2021.
  • 13 Jul 2017
  • News

Why we are all insurance companies

  • Video

Introduction to Big Data for Social Good

  • Mar 2021
  • Conference Presentation

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both... View Details
Keywords: Machine Learning; Unlearning Algorithm; Mathematical Methods
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Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March 2021.
  • April 2002 (Revised May 2003)
  • Supplement

An Overview of Project Finance-2002 Update

By: Benjamin C. Esty and Irina L. Christov
This case introduces to the field of project finance and provides a statistical overview of the project-financed investments over the last five years. It consists of four sections. The first section defines project finance and contrasts it with other well-known... View Details
Keywords: Measurement and Metrics; Project Finance; Investment
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Esty, Benjamin C., and Irina L. Christov. "An Overview of Project Finance-2002 Update." Harvard Business School Supplement 202-105, April 2002. (Revised May 2003.)
  • 08 Jun 2016
  • News

Study: Airbnb hosts discriminate

  • 23 Oct 2017
  • News

Applications Open for Harvard Business Analytics Program

  • 23 Sep 2017
  • Working Paper Summaries

Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity at Scale

Keywords: by Edward L. Glaeser, Hyunjin Kim, and Michael Luca
  • October 2009 (Revised June 2010)
  • Case

Hulu: An Evil Plot to Destroy the World?

By: Anita Elberse and Sunil Gupta
In July 2009, Jason Kilar, the chief executive officer of Hulu, is debating whether the online video aggregator should move away from a purely advertising-supported model, and whether it should participate in an industry-wide initiative to develop and test... View Details
Keywords: Advertising; Business Model; Television Entertainment; Distribution Channels; Service Operations; Internet and the Web; Media and Broadcasting Industry; Motion Pictures and Video Industry
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Elberse, Anita, and Sunil Gupta. "Hulu: An Evil Plot to Destroy the World?" Harvard Business School Case 510-005, October 2009. (Revised June 2010.)

    Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation.

    Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers' decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
    • Research Summary

    Time-Varying Volatility Risk Premia

    This paper provides evidence for the existence of time-varying volatility risk premia.  In doing so, it examines the evolution of the implied volatility bias in the S&P 100 from 1986-2006. Additionally, the paper proves three new results regarding the limiting... View Details
    • 05 Jun 2017
    • News

    5 Takeaways For The C-Suite From 2016's Vote Prediction Debacles

    • 2022
    • Article

    Data Poisoning Attacks on Off-Policy Evaluation Methods

    By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
    Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
    Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods
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    Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.
    • 2024
    • Working Paper

    What Is Newsworthy? Theory and Evidence

    By: Luis Armona, Matthew Gentzkow, Emir Kamenica and Jesse M. Shapiro
    We study newsworthiness in theory and practice. We focus on situations in which a news outlet observes the realization of a state of the world and must decide whether to report the realization to a consumer who pays an opportunity cost to consume the report. The... View Details
    Keywords: News; Mathematical Methods; Prejudice and Bias; Media and Broadcasting Industry
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    Armona, Luis, Matthew Gentzkow, Emir Kamenica, and Jesse M. Shapiro. "What Is Newsworthy? Theory and Evidence." NBER Working Paper Series, No. 32512, May 2024.
    • March 2010
    • Article

    Correcting for Cross-Sectional and Time-Series Dependence in Accounting Research

    By: Ian D. Gow, Daniel Taylor and Gaizka Ormazabal
    We review and evaluate the methods commonly used in the accounting literature to correct for cross-sectional and time-series dependence. While much of the accounting literature studies settings in which variables are cross-sectionally and serially correlated, we find... View Details
    Keywords: History; Cost of Capital; Activity Based Costing and Management; Performance Evaluation; Cost Accounting; Time Management; Research; Mathematical Methods; Equity; Borrowing and Debt; Accounting Audits; Accounting Industry
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    Gow, Ian D., Daniel Taylor, and Gaizka Ormazabal. "Correcting for Cross-Sectional and Time-Series Dependence in Accounting Research." Accounting Review 85, no. 2 (March 2010): 483–512.
    • September 2017
    • Article

    Reexamining Staggered Boards and Shareholder Value

    By: Charles C.Y. Wang and Alma Cohen
    Cohen and Wang (2013) (CW2013) provide evidence consistent with market participants perceiving staggered boards to be value reducing. Amihud and Stoyanov (2016) (AS2016) contests these findings, reporting some specifications under which the results are not... View Details
    Keywords: Staggered Boards; Takeover Defense; Antitakeover Provision; Firm Value; Delaware; Airgas; Governing and Advisory Boards; Corporate Governance; Value
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    Wang, Charles C.Y., and Alma Cohen. "Reexamining Staggered Boards and Shareholder Value." Journal of Financial Economics 125, no. 3 (September 2017): 637–647.
    • News

    After Mass Shootings, It’s Often Easier to Buy a Gun

      Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

      We introduce a new family of fairness definitions that interpolate between statistical and individual notions of fairness, obtaining some of the best properties of each. We show that checking whether these notions are satisfied is computationally hard in the worst... View Details
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