World's Best Scientists 2026 revealed!

Overview

Patrick J. Wolfe is affiliated with Purdue University West Lafayette in the United States. Their research spans multiple fields, primarily focusing on Physics and Astronomy as well as Computer Science. Within these main fields, their work engages with several subfields including Statistical and Nonlinear Physics, Artificial Intelligence, Statistics and Probability, Molecular Biology, and Geometry and Topology.

Their research topics include complex network analysis techniques, opinion dynamics and social influence, graph theory and applications, bioinformatics and genomic networks, Bayesian methods and mixture models, Bayesian modeling and causal inference, and complex systems and time series analysis.

Frequent publication venues for their research consist of arXiv (Cornell University), Biometrika, Journal of the American Statistical Association, Bernoulli, and Significance. These venues reflect a blend of preprint archives and peer-reviewed journals across statistics, probability, and applied mathematics.

Recent papers authored or coauthored by Patrick J. Wolfe include:

  • Blame the Algorithm?, 2020, Significance
  • Modeling Network Populations via Graph Distances, 2020, Journal of the American Statistical Association
  • Local linear graphon estimation using covariates, 2021, Biometrika
  • Tractably modelling dependence in networks beyond exchangeability, 2024, Bernoulli
  • Tractably Modelling Dependence in Networks Beyond Exchangeability, 2020, arXiv (Cornell University)

Coauthorship collaborations have been established with several researchers, including Sofia C. Olhede, Simon Lunagómez, Weichi Wu, Aritra Chakravorty, and William S. Cleveland. These frequent coauthors indicate collaborative work in overlapping areas related to network analysis and statistical modeling.

Best Publications

  • Stochastic blockmodels with a growing number of classes.

    David S. Choi;Patrick J. Wolfe;Edoardo M. Airoldi

  • Point process modelling for directed interaction networks

    Patrick O. Perry;Patrick J. Wolfe

  • Nonparametric graphon estimation

    Patrick J. Wolfe;Sofia C. Olhede

  • Efficient alternatives to the Ephraim and Malah suppression rule for audio signal enhancement

    Patrick J. Wolfe;Simon J. Godsill

  • Spectral methods in machine learning and new strategies for very large datasets.

    Mohamed Ali Belabbas;Patrick J. Wolfe

  • Spatio-Spectral Color Filter Array Design for Optimal Image Recovery

    K. Hirakawa;P.J. Wolfe

  • Network histograms and universality of blockmodel approximation

    Sofia C. Olhede;Patrick J. Wolfe

  • BAYESIAN VARIABLE SELECTION AND REGULARIZATION FOR TIME-FREQUENCY SURFACE ESTIMATION

    Patrick J. Wolfe;Simon J. Godsill;Wee-Jing Ng

  • Simple alternatives to the Ephraim and Malah suppression rule for speech enhancement

    P.J. Wolfe;S.J. Godsill

  • An Indiscrete Music Keyboard

    Lippold Haken;Ed Tellman;Patrick Wolfe

  • Kalman-based autoregressive moving average modeling and inference for formant and antiformant tracking.

    Daryush D. Mehta;Daniel Rudoy;Patrick J. Wolfe

  • The growing ubiquity of algorithms in society: implications, impacts and innovations

    S. C. Olhede;P. J. Wolfe

  • Subgraph Detection Using Eigenvector L1 Norms

    Benjamin Miller;Nadya Bliss;Patrick J. Wolfe

  • Point process modeling for directed interaction networks

    Patrick O. Perry;Patrick J. Wolfe

  • Interpolation of missing data values for audio signal restoration using a Gabor regression model

    P.J. Wolfe;S.J. Godsill

  • A Framework for wavelet-Based Analysis and Processing of Color Filter Array Images with Applications to Denoising and Demosaicing

    K. Hirakawa;Xiao-Li Meng;P. J. Wolfe

  • Toward signal processing theory for graphs and non-Euclidean data

    Benjamin A. Miller;Nadya T. Bliss;Patrick J. Wolfe

  • A Spectral Framework for Anomalous Subgraph Detection

    Benjamin A. Miller;Michelle S. Beard;Patrick J. Wolfe;Nadya T. Bliss

  • Null models for network data

    Patrick O. Perry;Patrick J. Wolfe

  • Co-clustering separately exchangeable network data

    David S. Choi;Patrick J. Wolfe

Frequent Co-Authors

Simon J. Godsill
Simon J. Godsill University of Cambridge
Charles A. Bouman
Charles A. Bouman Purdue University West Lafayette
Edoardo M. Airoldi
Edoardo M. Airoldi Temple University
Vikram Krishnamurthy
Vikram Krishnamurthy Cornell University
Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Brendan J. Frey
Brendan J. Frey University of Toronto
Roberto Pieraccini
Roberto Pieraccini Google (United States)
Liang-Gee Chen
Liang-Gee Chen National Taiwan University
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)

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