World's Best Scientists 2026 revealed!

Research.com Recognitions

  • 2018 - Fellow of the American Statistical Association (ASA)

Overview

Peter D. Hoff is affiliated with Duke University in the United States. Their research primarily falls within the field of Mathematics, with a strong focus on Statistics and Probability.

The scientist's work covers multiple subfields, including:

  • Statistics and Probability
  • Artificial Intelligence
  • Molecular Biology
  • Economics and Econometrics
  • Statistical and Nonlinear Physics

Key research topics include:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Spatial and Panel Data Analysis
  • Species Distribution and Climate Change
  • Water Quality Monitoring and Analysis
  • Statistical Methods in Clinical Trials

Peter D. Hoff has contributed to numerous publications in a range of journals and venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Bernoulli
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Journal of Computational and Graphical Statistics
  • The Annals of Statistics

Recent papers authored by Peter D. Hoff encompass the following:

  • "Additive and Multiplicative Effects Network Models," 2020, Statistical Science
  • "Bayes-optimal prediction with frequentist coverage control," 2023, Bernoulli
  • "Core shrinkage covariance estimation for matrix-variate data," 2023, Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • "Smaller p-Values via Indirect Information," 2020, Journal of the American Statistical Association

Frequent co-authors who have collaborated with Peter D. Hoff include:

  • Andrew McCormack
  • Jordan Bryan
  • Elizabeth Bersson
  • Christopher L. Osburn
  • Michael Jauch

In 2018, Peter D. Hoff was recognized as a Fellow of the American Statistical Association (ASA).

Best Publications

  • Latent Space Approaches to Social Network Analysis

    Peter D Hoff;Adrian E Raftery;Mark S Handcock

  • A First Course in Bayesian Statistical Methods

    Peter D. Hoff

  • Bilinear Mixed Effects Models for Dyadic Data

    Peter D Hoff

  • Extending the rank likelihood for semiparametric copula estimation

    Peter D. Hoff

  • Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models

    Pavel N. Krivitsky;Mark S. Handcock;Adrian E. Raftery;Peter D. Hoff

  • Modeling homophily and stochastic equivalence in symmetric relational data

    Peter Hoff

  • Multiplicative latent factor models for description and prediction of social networks

    Peter D. Hoff

  • Modeling Dependencies in International Relations Networks

    Peter D. Hoff;Michael D. Ward

  • Simulation of the Matrix Bingham–von Mises–Fisher Distribution, With Applications to Multivariate and Relational Data

    Peter D. Hoff

  • Separable covariance arrays via the Tucker product, with applications to multivariate relational data

    Peter D. Hoff

  • MULTILINEAR TENSOR REGRESSION FOR LONGITUDINAL RELATIONAL DATA.

    Peter D. Hoff

  • Randomized Control Trial of Peer-Delivered, Modified Directly Observed Therapy for HAART in Mozambique

    Cynthia R Pearson;Mark A Micek;Jane M Simoni;Peter D Hoff

  • Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood

    Adrian E. Raftery;Xiaoyue Niu;Peter D. Hoff;Ka Yee Yeung

  • Persistent Patterns of International Commerce

    Michael D. Ward;Peter D. Hoff

  • Model Averaging and Dimension Selection for the Singular Value Decomposition

    Peter D. Hoff

  • Hierarchical multilinear models for multiway data

    Peter D. Hoff

  • A Covariance Regression Model

    Peter D. Hoff;Xiaoyue Niu

  • A mixed effects model for longitudinal relational and network data, with applications to international trade and conflict

    Anton H. Westveld;Peter D. Hoff

  • Discussion on the paper by Handcock, Raftery and Tantrum

    Tom A. B. Snijders;Tony Robinson;Anthony C. Atkinson;Marco Riani

  • Clustering objects on subsets of attributes

    DJ Hand;C Glasbey;D Husmeier;JC Gower

Frequent Co-Authors

Michael D. Ward
Michael D. Ward Duke University
David B. Dunson
David B. Dunson Duke University
William F. Dove
William F. Dove University of Wisconsin–Madison
Jane M. Simoni
Jane M. Simoni University of Washington
Adrian E. Raftery
Adrian E. Raftery University of Washington
Mark S. Handcock
Mark S. Handcock University of California, Los Angeles
Lawrence A. Donehower
Lawrence A. Donehower Baylor College of Medicine
Dirk Husmeier
Dirk Husmeier University of Glasgow
Ronald A. Lubet
Ronald A. Lubet National Institutes of Health
Jon A. Wellner
Jon A. Wellner University of Washington

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