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D-Index & Metrics

Mathematics

D-Index
31
Citations
22648
World Ranking
3259
National Ranking
132

Engineering and Technology

D-Index
31
Citations
23468
World Ranking
9623
National Ranking
384

Research.com Recognitions

  • 2006 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Martin L. Puterman is affiliated with the University of British Columbia in Canada. Their research spans multiple fields, primarily focusing on economics, econometrics, finance, and computer science. They have contributed to several subfields, including economics and econometrics, artificial intelligence, information systems, management science and operations research, as well as orthopedics and sports medicine.

The primary topics addressed in Puterman's work include sports analytics and performance, reinforcement learning in robotics, software engineering research, Bayesian modeling and causal inference, forecasting techniques and applications, and sports performance and training.

Puterman has published papers in several notable venues such as Operations Research, The Annals of Applied Statistics, and arXiv (Cornell University). Some of their recent papers are:

  • Points Gained in Football: Using Markov Process-Based Value Functions to Assess Team Performance, 2021, Operations Research
  • Learning Risk Preferences in Markov Decision Processes: an Application to the Fourth Down Decision in the National Football League, 2023, arXiv (Cornell University)
  • Learning risk preferences in Markov decision processes: An application to the fourth down decision in the national football league, 2024, The Annals of Applied Statistics

Frequent co-authors collaborating with Puterman include:

  • Timothy C. Y. Chan
  • Nathan Sandholtz
  • Lucas Wu
  • Craig Fernandes

Martin L. Puterman was awarded the distinction of Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2006.

Best Publications

  • Markov Decision Processes: Discrete Stochastic Dynamic Programming

    Martin L. Puterman

  • Encyclopedia of Machine Learning and Data Mining

    Unknown

  • Dynamic Multipriority Patient Scheduling for a Diagnostic Resource

    Jonathan Patrick;Martin L. Puterman;Maurice Queyranne

  • Modified Policy Iteration Algorithms for Discounted Markov Decision Problems

    Martin L. Puterman;Moon Chirl Shin

  • Chapter 8 Markov decision processes

    Martin L. Puterman

  • Maximum-Penalized-Likelihood Estimation for Independent and Markov-Dependent Mixture Models

    Brian G. Leroux;Martin L. Puterman

  • Deep Belief Networks

    Unknown

  • Mixed Poisson regression models with covariate dependent rates.

    Peiming Wang;Martin L. Puterman;Iain Cockburn;Nhu Le

  • The Censored Newsvendor and the Optimal Acquisition of Information

    Xiaomei Ding;Martin L. Puterman;Arnab Bisi

  • Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation

    Pablo Santibáñez;Vincent S. Chow;John French;Martin L. Puterman

  • Dynamic multi-appointment patient scheduling for radiation therapy

    Antoine Sauré;Jonathan Patrick;Scott Tyldesley;Martin L. Puterman

  • Analysis of Patent Data—A Mixed-Poisson-Regression-Model Approach

    Peiming Wang;lain M. Cockburn;Martin L. Puterman

  • On the Convergence of Policy Iteration in Stationary Dynamic Programming

    Martin L. Puterman;Shelby L. Brumelle

  • Reducing Surgical Ward Congestion Through Improved Surgical Scheduling and Uncapacitated Simulation

    Vincent S. Chow;Martin L. Puterman;Neda Salehirad;Wenhai Huang

  • Dynamic scheduling with due dates and time windows: an application to chemotherapy patient appointment booking

    Yasin Gocgun;Martin L. Puterman

  • Improving resource utilization for diagnostic services through flexible inpatient scheduling: A method for improving resource utilization

    Jonathan Patrick;Martin L. Puterman

  • A Simulation Optimization Approach to Long-Term Care Capacity Planning

    Yue Zhang;Martin L. Puterman;Matthew Nelson;Derek Atkins

  • Optimal strategies in sports

    Martin L. Puterman;Shaul P. Ladany;Robert E. Machol

  • Prophylaxis of urinary tract infection in persons with recent spinal cord injury: A prospective, randomized, double-blind, placebo-controlled study of trimethoprim-sulfamethoxazole

    Marie J. Gribble;Martin L. Puterman

  • Reducing Wait Times through Operations Research: Optimizing the Use of Surge Capacity.

    Jonathan Patrick;Martin L Puterman

  • Mixed logistic regression models

    Peiming Wang;Martin L. Puterman

  • Collinearity in generalized linear models

    Murray J. Mackinnon;Martin L. Puterman

Frequent Co-Authors

Pamela A. Ratner
Pamela A. Ratner University of British Columbia
Sheila M. Innis
Sheila M. Innis University of British Columbia
Iain M. Cockburn
Iain M. Cockburn Boston University
Lyn C. Thomas
Lyn C. Thomas University of Southampton
Christian Kollmannsberger
Christian Kollmannsberger University of British Columbia
Pierre L'Ecuyer
Pierre L'Ecuyer University of Montreal
Maurice Queyranne
Maurice Queyranne University of British Columbia
Edward A. Clark
Edward A. Clark University of Washington
Hans D. Ochs
Hans D. Ochs University of Washington
Ivo A. Olivotto
Ivo A. Olivotto University of Calgary

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