People at CTMS

» Search People

James O. Berger, Arts and Sciences Professor of Statistics

 

James O. Berger

Contact Info:
Office Location:  221 Old Chemistry, Durham, NC 27708
Office Phone:  (919) 684-4531
Email Address: send me a message
Web Page:  http://www.stat.duke.edu/%7Eberger/

Teaching (Fall 2017):

  • STA 340.01, STATISTICAL DECISION ANALYSIS Synopsis
    Physics 130, TuTh 03:05 PM-04:20 PM
  • STA 623.01, STAT DECISION THEORY Synopsis
    Physics 130, TuTh 03:05 PM-04:20 PM

Education:

Ph.D.Cornell University1974
M.A.Cornell University1973
B.A.Cornell University1971
A.B.Cornell University1971

Specialties:

Bayesian Statistics

Research Interests: Decision Theory, Foundations and Modeling, Computer Models

Keywords:

Algorithms • Clinical Trials as Topic • Individualized Medicine • Models, Statistical • Patient Selection • Research Design • Treatment Outcome

Current Ph.D. Students   (Former Students)
  • James H. Albert  

Postdocs Mentored
  • German Molina (2005/01-present)  

Recent Publications   (More Publications)

  1. Gu, M; Berger, JO, Parallel partial Gaussian process emulation for computer models with massive output, The annals of applied statistics, vol. 10 no. 3 (September, 2016), pp. 1317-1347 [doi]
  2. Bayarri, MJ; Benjamin, DJ; Berger, JO; Sellke, TM, Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses, Journal of Mathematical Psychology, vol. 72 (June, 2016), pp. 90-103 [doi]
  3. Wang, X; Berger, JO, Estimating Shape Constrained Functions Using Gaussian Processes, SIAM/ASA Journal on Uncertainty Quantification, vol. 4 no. 1 (January, 2016), pp. 1-25 [doi]
  4. Berger, JO; Bernardo, JM; Sun, D, Overall Objective Priors, Bayesian Analysis, vol. 10 no. 1 (March, 2015), pp. 189-221 [doi]
  5. Bayarri, MJ; Berger, JO; Calder, ES; Patra, AK; Pitman, EB; Spiller, ET; Wolpert, RL, PROBABILISTIC QUANTIFICATION OF HAZARDS: A METHODOLOGY USING SMALL ENSEMBLES OF PHYSICS-BASED SIMULATIONS AND STATISTICAL SURROGATES, International Journal for Uncertainty Quantification, vol. 5 no. 4 (2015), pp. 297-325, ISSN 2152-5080 [doi]