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Publications

Publications

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  • All HBS Web  (837)
    • News  (79)
    • Research  (640)
    • Events  (14)
    • Multimedia  (4)
  • Faculty Publications  (632)

Show Results For

  • All HBS Web  (837)
    • News  (79)
    • Research  (640)
    • Events  (14)
    • Multimedia  (4)
  • Faculty Publications  (632)
← Page 24 of 837 Results →
  • Article

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error

By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
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Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
  • 2017
  • Working Paper

Investment Timing with Costly Search for Financing

By: Samuel Antill
I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can... View Details
Keywords: Real Options; Search And Bargaining; Time-varying Financial Conditions; Investment; Venture Capital; Mathematical Methods
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Antill, Samuel. "Investment Timing with Costly Search for Financing." Working Paper, December 2017.
  • January 2011
  • Teaching Note

AIC Netbooks: Optimizing Product Assembly (Brief Case)

By: Steven C. Wheelwright and Sunru Yong
Teaching Note for 4245. View Details
Keywords: Performance Management; Quantitative Analysis; Manufacturing; Production Planning; Production Management; Production; Mathematical Methods; Performance Evaluation; Planning; Manufacturing Industry
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Wheelwright, Steven C., and Sunru Yong. "AIC Netbooks: Optimizing Product Assembly (Brief Case)." Harvard Business School Teaching Note 114-246, January 2011.
  • 1981
  • Chapter

Productivity Measurement at the Level of the Firm: An Application within the Service Industry

By: Hirotaka Takeuchi
Keywords: Performance Productivity; Measurement and Metrics; Mathematical Methods; Service Industry
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Takeuchi, Hirotaka. "Productivity Measurement at the Level of the Firm: An Application within the Service Industry." In Productivity Analysis at the Firm Level, edited by Ali Dogramaci and Nabil R. Adam. Martinus Nijhoff Publishers, 1981.
  • November 1989 (Revised March 1992)
  • Background Note

Concept Testing

By: Robert J. Dolan
Describes concept testing products. Presents guidelines for effective design, execution, and interpretation of test procedures. Discusses limitations of these techniques and sets out the situations for which they are appropriate. View Details
Keywords: Marketing; Mathematical Methods; Forecasting and Prediction
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Dolan, Robert J. "Concept Testing." Harvard Business School Background Note 590-063, November 1989. (Revised March 1992.)
  • January 2024
  • Article

Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics

By: Rui Cao, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector and Tianzhong Yang
Multi-trait analysis has been shown to have greater statistical power than single-trait analysis. Most of the existing multi-trait analysis methods only work with a limited number of traits and usually prioritize high statistical power over identifying relevant traits,... View Details
Keywords: Mathematical Methods; Health Disorders
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Cao, Rui, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector, and Tianzhong Yang. "Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics." Bioinformatics 40, no. 1 (January 2024).
  • March 1992 (Revised June 1992)
  • Background Note

Strategic Industry Model: Emergent Technologies

By: Robert J. Dolan
Describes computer model and output from conjoint analysis and perceptual mapping for product line planning. View Details
Keywords: Mathematical Methods; Product Marketing
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Dolan, Robert J. "Strategic Industry Model: Emergent Technologies." Harvard Business School Background Note 592-086, March 1992. (Revised June 1992.)
  • 01 Oct 1999
  • News

Finance Conference Explores Research Methodologies

used traditional methods of inquiry - mathematical theory or statistical analysis, for instance - while others employed interviews, primary company materials, surveys, and close examination of the trading of individual securities. A... View Details
  • 1997
  • Chapter

Applications of Option-Pricing Theory: Twenty-Five Years Later

By: Robert C. Merton
Keywords: Asset Pricing; Stock Options; Mathematical Methods
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Merton, Robert C. "Applications of Option-Pricing Theory: Twenty-Five Years Later." In Les Prix Nobel 1997, edited by Tore Frängsmyr. Stockholm: Nobel Foundation, 1997. (Reprinted in American Economic Review, June 1998.)
  • spring 1987
  • Article

Second-Sourcing and the Experience Curve: Price Competition in Defense Procurement

By: James J. Anton and Dennis A. Yao
We examine a dynamic model of price competition in defense procurement that incorporates the experience curve, asymmetric cost information, and the availability of a higher cost alternative system. We model acquisition as a two-stage process in which initial production... View Details
Keywords: Acquisition; Government and Politics; Price; Competition; Mathematical Methods
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Anton, James J., and Dennis A. Yao. "Second-Sourcing and the Experience Curve: Price Competition in Defense Procurement." RAND Journal of Economics 18, no. 1 (spring 1987): 57–76. (Harvard users click here for full text.)
  • 2021
  • Article

Aggregate Advertising Expenditure in the U.S. Economy: Measurement and Growth Issues in the Digital Era

By: Alvin J. Silk and Ernst R. Berndt
The two components of the advertising industry—the creative sector that develops and produces messages, and the communications sector that transmits messages via various media—have each been greatly affected by advances in creative design and communications... View Details
Keywords: Industry Evolution; Advertising; Spending; Measurement and Metrics; Mathematical Methods; Media; Advertising Industry; United States
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Silk, Alvin J., and Ernst R. Berndt. "Aggregate Advertising Expenditure in the U.S. Economy: Measurement and Growth Issues in the Digital Era." Foundations and Trends® in Marketing 15, no. 1 (2021): 1–85.
  • Article

On Market Timing and Investment Performance Part II: Statistical Procedures for Evaluating Forecasting Skills

By: Robert C. Merton and Roy D. Henriksson
Keywords: Investment; Performance; Mathematical Methods; Forecasting and Prediction
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Merton, Robert C., and Roy D. Henriksson. "On Market Timing and Investment Performance Part II: Statistical Procedures for Evaluating Forecasting Skills." Journal of Business 54, no. 4 (October 1981): 513–533.
  • November 2007
  • Background Note

Bayesian Estimation & Black-Litterman

By: Joshua D. Coval and Erik Stafford
Describes a practical method for asset allocation that is more robust to estimation errors than the traditional implementation of mean-variance optimization with sample means and covariances. The Bayesian inspired Black-Litterman model is described after introducing... View Details
Keywords: Asset Management; Investment Portfolio; Mathematical Methods
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Coval, Joshua D., and Erik Stafford. "Bayesian Estimation & Black-Litterman." Harvard Business School Background Note 208-085, November 2007.
  • 01 Mar 2016
  • News

Faculty Q&A: Price Check

How did you come to focus on algorithmic pricing? In my doctoral work at MIT, I was studying optimization, probability, and machine learning, which are essentially mathematical tools that enable us to use data to make better decisions.... View Details
Keywords: Julia Hanna; Nonstore Retailers; Retail Trade
  • 03 Dec 2024
  • News

Magic Numbers

Courtesy Shalinee Sharma Courtesy Shalinee Sharma As a sixth grader in Buffalo, New York, Shalinee Sharma (MBA 2005) believed math just wasn’t her thing. There were only a few girls in the honors class at her new school, and Sharma soon realized that she was far behind... View Details
Keywords: Amy Crawford
  • 1992
  • Chapter

Thinking Coalitionally: Party Arithmetic, Process Opportunism, and Strategic Sequencing

By: James K. Sebenius and David Lax
Keywords: Alliances; Negotiation Process; Mathematical Methods; Strategy
Citation
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Sebenius, James K., and David Lax. "Thinking Coalitionally: Party Arithmetic, Process Opportunism, and Strategic Sequencing." In Negotiation Analysis, edited by H. Peyton Young, 153–193. Ann Arbor, MI: University of Michigan Press, 1992.
  • 2024
  • Working Paper

Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Keywords: Mathematical Methods; Analytics and Data Science
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Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
  • 2023
  • Article

Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability

By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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Bhalla, Usha, Suraj Srinivas, and Himabindu Lakkaraju. "Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability." Advances in Neural Information Processing Systems (NeurIPS) (2023).
  • May 2020
  • Article

Scalable Holistic Linear Regression

By: Dimitris Bertsimas and Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
Keywords: Mathematical Methods; Analytics and Data Science
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Bertsimas, Dimitris, and Michael Lingzhi Li. "Scalable Holistic Linear Regression." Operations Research Letters 48, no. 3 (May 2020): 203–208.
  • March 2022
  • Article

Sensitivity Analysis of Agent-based Models: A New Protocol

By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such... View Details
Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods
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Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
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