Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., University of Wisconsin - Madison 2000
  • M.S., University of Wisconsin - Madison 1994
  • B.S., Indiana University at Bloomington 1993
• Recognition
• 

  In the News

  • OCT 2, 2016

    Peter Hoff: Reckoning With Big Data to Tease Out Network Patterns

  • SEP 30, 2016

    Peter Hoff: Reckoning with Big Data
• Research
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  External Relationships

  • Springer Publishing Company
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • He, Y., and P. D. Hoff. “Multiplicative coevolution regression models for longitudinal networks and nodal attributes.” Social Networks 57 (May 1, 2019): 54–62. https://doi.org/10.1016/j.socnet.2018.12.002.
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    • Hoff, P. D. “Limitations on detecting row covariance in the presence of column covariance.” Journal of Multivariate Analysis 152 (December 1, 2016): 249–58. https://doi.org/10.1016/j.jmva.2016.09.003.
       Full Text
    • Minhas, S., P. D. Hoff, and M. D. Ward. “A new approach to analyzing coevolving longitudinal networks in international relations.” Journal of Peace Research 53, no. 3 (January 1, 2016): 491–505. https://doi.org/10.1177/0022343316630783.
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    • Kessler, David C., Peter D. Hoff, and David B. Dunson. “Marginally specified priors for non-parametric Bayesian estimation.” Journal of the Royal Statistical Society. Series B, Statistical Methodology 77, no. 1 (January 2015): 35–58. https://doi.org/10.1111/rssb.12059.
       Full Text
    • Volfovsky, Alexander, and Peter D. Hoff. “HIERARCHICAL ARRAY PRIORS FOR ANOVA DECOMPOSITIONS OF CROSS-CLASSIFIED DATA.” The Annals of Applied Statistics 8, no. 1 (March 2014): 19–47. https://doi.org/10.1214/13-aoas685.
       Full Text
• Teaching & Mentoring
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  Recent Courses

  • STA 532: Theory of Statistical Inference 2020
  • STA 790-1: Special Topics in Statistics 2019
  • STA 993: Independent Study 2019
  • STA 493: Research Independent Study 2018
  • STA 832: Multivariate Statistical Analysis 2018

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