LabCompass

Paul F. V. Wiemann

Mathematics · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2012Rising activity
Statistical Methods and InferenceStatistical Methods and Bayesian InferenceBayesian Methods and Mixture ModelsSoil Geostatistics and MappingSpatial and Panel Data Analysis

Publications

29

Citations

167

Est. group size

—

Recurring co-author estimate

Active years

15

Publishing since 2012

Research summary
AI-generated

Paul F. V. Wiemann works on Bayesian statistics, focusing on flexible regression models and generative methods for complex data, including spatial and climate data. His research develops computational tools (such as variational inference and transport maps) that allow scientists to model non-standard distributions, like skewed or bounded data, and large-scale spatial fields such as climate variables.

Bayesian statistical modelingStructured additive regressionSpatial and climate data modelingGenerative modeling and transport mapsVariational inference and MCMC methods

Publication output has grown substantially in recent years, rising from sporadic or zero output earlier in the decade to a notable surge of activity in 2025 and 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.0/year recently
172018: 2 publications1819202021: 5 publications212022: 1 publication222023: 5 publications232024: 2 publications242025: 3 publications252026: 9 publications926
Recent publications
Publishes in
  • arXiv (Cornell University)×8
  • Figshare×4
  • Journal of Agricultural Biological and Environmental Statistics×2
  • Open MIND×2
  • Journal of Cleaner Production×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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