Publications

2025
Article

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

By: Kosuke Imai and Michael Lingzhi Li

Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details

Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science

Read Now

10 Oct 2019
News

Technology is making inflation statistics an unreliable guide to the economy

01 Oct 1997
News

Class of '97 Placement Statistics Similar for September and January Cohorts

Preliminary placement figures (as of August 1997)* Total September Cohort January Cohort Average satisfaction with job offer (on a scale of 1-low to 7-high) 6.1 6.1 6.1 Average number of companies contacted 20 19 21 Average number of organizations with which each... View Details

Teaching Interest

Overview

I served as a Teaching Fellow for the Applied Business Analytics second-year MBA course. This course sought to teach MBA students how businesses can improve their strategic decisions using statistics and machine learning techniques. (e.g., regression models, random... View Details

Keywords: Analytics; Machine Learning; Statistics

August 2015 (Revised January 2017)
Technical Note

From Correlation to Causation

By: Feng Zhu and Karim R. Lakhani

To make sound business decisions, managers must be comfortable with the concepts of correlation and causation. This background note provides an overview of correlation and causation using examples and explains why the former does not imply the latter. It also describes... View Details

Keywords: Statistics; Regression; Data Analytics; Decisions; Forecasting and Prediction; Judgments

Educators

February 2021
Tutorial

Assessing Prediction Accuracy of Machine Learning Models

By: Michael Toffel and Natalie Epstein

This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details

Keywords: Statistics; Experiments; Forecasting and Prediction; Performance Evaluation; AI and Machine Learning

01 Jun 2010
News

Alumni Books

the forces affecting attitudes and behaviors in each generation and analyzes the implications of organizational and technological changes for their future. Numbers Rule Your World: The Hidden Influence of Probability and Statistics on... View Details

Keywords: mathematics; statistics; Finance

Teaching Interest

Overview

Graduate student instructor, Introduction to Statistics, 2002
Reader, Introduction to Time Series, 2003
Reader, Introductory Probability Theory, 2001 View Details

Keywords: Statistics; Probability

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

2015
Chapter

Communicating Statistics in the Context of Banking Union – A Macro User's Perspective

By: Jan Kozak and Huw Pill

Read Now

September 2009
Article

A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement

By: Matthew Carty MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow and Dennis Orgill

Background: The increased focus on quality and efficiency improvement within academic surgery has met with variable success among plastic surgeons. Traditional surgical performance metrics, such as morbidity and mortality, are insufficient to improve the... View Details

Keywords: Experience and Expertise; Health Care and Treatment; Medical Specialties; Outcome or Result; Performance Efficiency; Performance Improvement

March 2011 (Revised April 2021)
Case

The Whiz Kids

By: Tom Nicholas and David Chen

In October 1945, Henry Ford II received a telegram in his office at the Ford Motor Company in Dearborn, Michigan written by Charles "Tex" Thornton, a U.S. Air Force colonel. The telegram presented an opportunity for Ford to deploy a system of statistical control which... View Details

Keywords: Ford Motor Company; Statistical Control; Management Systems; Accounting; Operations; Strategy; Mathematical Methods; Auto Industry; United States

Educators