Dan Kowal
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dan-kowal.bsky.social
Dan Kowal
@dan-kowal.bsky.social
Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
Reposted by Dan Kowal
Dear ISBA members,

It is with great pleasure that we announce the completion of this year’s round of the Blackwell–Rosenbluth Award by j-ISBA, and that I have the honor of presenting our 2025 winners:
November 10, 2025 at 7:13 PM
Reposted by Dan Kowal
Uncovering Dynamic Relationships Between SARS-CoV-2 Wastewater Concentrations and Community Infections via Bayesian Spatial Functional Concurrent Regression

@tandfresearch.bsky.social #COVID #DataScience www.tandfonline.com/doi/full/10....
June 25, 2025 at 10:34 AM
New update to the SeBR package! Efficient, fully Bayesian inference for transformed linear/quantile/GP regressions. The learned transformation lets these models apply far more broadly:
- Data that are skewed, heavy-tailed, multimodal...
- Continuous real, positive, or [0,1] data
SeBR: Semiparametric Bayesian Regression Analysis
Monte Carlo sampling algorithms for semiparametric Bayesian regression analysis. These models feature a nonparametric (unknown) transformation of the data paired with widely-used regression models inc...
CRAN.R-project.org
June 18, 2025 at 3:44 PM
Join the crowd of folks reading Brian's paper on count time series models!
March 5, 2025 at 5:03 PM
New paper on probabilistic forecasting for multivariate time series! Work led by my former PhD student, John Zito:
A dynamic copula model for probabilistic forecasting of non-Gaussian multivariate time series
Multivariate time series (MTS) data often include a heterogeneous mix of non-Gaussian distributional features (asymmetry, multimodality, heavy tails) and data types (continuous and discrete variables)...
arxiv.org
February 25, 2025 at 2:33 PM
Reposted by Dan Kowal
Immensely sad that Herman has passed away.
He took me into the Bayesian community at the Valencia meeting in 1998. Very encouraging discussant of my thesis. Always helping the younger and willing to share his time and knowledge.
He will be missed by many.

Obituary:
esobe.org/Herman_van_D...
January 30, 2025 at 11:03 AM
Since this work has gotten some attention, reposting for all the new folks here!

www.nationaltribune.com.au/new-statisti...
December 4, 2024 at 2:30 PM
We're hiring! Positions available at the Asst/Assoc level. Wonderful collaborative opportunities with @cornellcals.bsky.social and throughout the university. And we're moving to a brand new building for data/computing/info sciences this summer! Please apply:

academicjobsonline.org/ajo/jobs/28628
Cornell University, CALS - Statistics and Data Science
Full service online faculty recruitment and application management system for academic institutions worldwide. We offer unique solutions tailored for academic communities.
academicjobsonline.org
November 19, 2024 at 3:13 PM
I've never had anything "trending" before...thanks
@cornellcals.bsky.social and Phys.org for getting the word out!
#Statistics #AcademicChatter #academicsky #Research #Science
November 18, 2024 at 6:17 PM
Since I'm new here, I'll link to my most recent paper (open access!). It's a blend of Bayesian regression, data transformations, and computing.

#bayes #stats

doi.org/10.1080/0162...
Monte Carlo Inference for Semiparametric Bayesian Regression
Data transformations are essential for broad applicability of parametric regression models. However, for Bayesian analysis, joint inference of the transformation and model parameters typically invo...
doi.org
November 12, 2024 at 4:41 PM