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Quantitative Methods

Quantitative Methods

The Quantitative Methods area at the Mitch Daniels School of Business is dedicated to being one of the nation’s leading hubs of research on business statistics, management science, predictive analysis, six sigma and quality management, data mining, optimization and more. Faculty in the department teach undergraduate, master’s and PhD level courses.

Centers & Organizations

Research

Quantitative Methods faculty are leading researchers in statistical quality control and improvement, reliability analysis, network science, machine learning, combinatorial optimization, integer programming and more. Their research has been published in journals such as Mathematical Programming, Mathematics of Operations Research and the SIAM Journal on Optimization.

Read more about our research

Journal Articles

  • Xi Chen, Wenbo Jing, Weidong Liu, and Yichen Zhang (2024). "Distributed Estimation and Inference for Semi-parametric Binary Response Models." The Annals of Statistics vol. 52 (3), 922-947. | Related Website |
  • Rene Caldentey, Avi Giloni, Clifford Hurvich, and Yichen Zhang (2024). "Information Design and Sharing in Supply Chains." Mathematics of Operations Research | Related Website |
  • Xi Chen, Zehua Lai, He Li, and Yichen Zhang (2023). "Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods." Journal of the American Statistical Association | Related Website |

Job Market Candidates

Daniels School of Business PhD students are leading members of the next generation of innovative researchers, scholars and teachers. We are proud to support the next phase of their academic and professional lives.

To obtain additional information on job market candidates, please reach out to the Quantitative Methods area contact below, or contact the candidate directly.

PhD Coordinator
Will Wei Sun
sun244@purdue.edu
(765) 494-4085

Daniels School of Business Quantitative Methods Area, Management Department
Krannert Building
403 Mitch Daniels Blvd.
West Lafayette, IN 47907-2076

Department Head: Lin Nan

Quantitative Methods Area Coordinator: Yanjun Li