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J. Eric Bickel

Dr. Bickel is an assistant professor in both the Operations Research / Industrial Engineering Group (Department of Mechanical Engineering) and the Department of Petroleum and Geosystems Engineering at The University of Texas at Austin. In addition, Professor Bickel is a fellow in the Center for International Energy and Environmental Policy and the Center for Petroleum Asset Risk Management. His research interests include the theory and practice of decision analysis and its application in the energy arena. His research has addressed the modeling of probabilistic dependence, value of information, scoring rules, calibration, and risk preference. Prior to joining The University of Texas at Austin, Professor Bickel was an assistant professor at Texas A&M University and a Senior Engagement Manager for Strategic Decisions Group. He has consulted around the world in a range of industries, including oil and gas, electricity generation/transmission/delivery, energy trading and marketing, commodity and specialty chemicals, life sciences, financial services, and metals and mining. He is a council member for the Decision Analysis Society.

Selected Publications

  1. Bickel, J. Eric, "Some Comparisons between Quadratic, Spherical, and Logarithmic Scoring Rules", Decision Analysis , Vol. 3, (2008), 4, pp. 233-251
  2. Luis V. Montiel and J. Eric Bickel, "A Simulation-Based Approach to Decision Making with Partial Information", Decision Analysis
  3. Luis V. Montiel and J. Eric Bickel, "A Simulation-Based Approach to Decision Making with Partial Information", Decision Analysis, Vol. 9, (2012), 4
  4. J. Eric Bickel and Shubham Agrawal, "Reconsidering the Economics of Aerosol Geoengineering", Climatic Change, (2012)
  5. Bickel, J. Eric, "The Relationship between Perfect and Imperfect Information in a Risk-Sensitive Two-Action Problem", Decision Analysis, Vol. 5, (2008), 3, pp. 116-128

Most Recent Publications

  1. Robert H. Hammond and J. Eric Bickel, "Reexamining Discrete Approximations to Continuous Distributions," Decision Analysis, Vol. 10, (2013), 1
  2. Luis V. Montiel and J. Eric Bickel, "Approximating Joint Probability Distributions Given Partial Information," Decision Analysis, Vol. 10, (2013), 1
  3. Luis V. Montiel and J. Eric Bickel, "A Simulation-Based Approach to Decision Making with Partial Information," Decision Analysis, Vol. 9, (2012), 4
  4. J. Eric Bickel, "Discretization, Simulation, and the Value of Information," SPE Economics & Management, Vol. 4, (2012), 4, pp. 198-203
  5. J. Eric Bickel and Shubham Agrawal, "Reconsidering the Economics of Aerosol Geoengineering," Climatic Change, (2012)
  6. Luis V. Montiel and J. Eric Bickel, "Generating a Random Collection of Discrete Joint Probability Distributions Subject to Partial Information," Methodology And Computing In Applied Probability, (2012)
  7. Robin L. Keller, Ali Abbas, J. Eric Bickel, et al., "From the Editors: Probability Scoring Rules, Ambiguity, Multiattribute Terrorist Utility, and Sensitivity Analysis," Decision Analysis, Vol. 8, (2011), 4, pp. 251-255
  8. J. Eric Bickel, Eric Floehr, and Seong-Dae Kim, "Comparing NWS POP Forecasts to Third-Party Providers," Monthly Weather Review, Vol. 139, (2011), 11, pp. 3304-3321
  9. J. Eric Bickel, Larry W. Lake, and John Lehman, "Discretization, Simulation, and Swanson’s (Inaccurate) Mean," SPE Economics & Management , Vol. 3, (2011), 3, pp. 128-140
  10. Kim, Seong-Dae and J. Eric Bickel, "Roads or Radar: The Tradeoff between Investments in Infrastructure and Forecasting when Facing Hurricane Risk," IEEE Systems Journal, Vol. 4, (2010), 3, pp. 363-375