Dan Kowal
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Dan Kowal
@dan-kowal.bsky.social
1.2K followers 500 following 14 posts
Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
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dan-kowal.bsky.social
The update includes:
- faster computing
- fewer dependencies
- new functionality for variable selection in semiparametric regression
- better handling of the transformation (now properly location-scale identified)

The paper is also open access: www.tandfonline.com/doi/full/10....
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...
www.tandfonline.com
June 18, 2025 at 3:44 PM
dan-kowal.bsky.social
doi.org/10.1214/23-B...
Warped Dynamic Linear Models for Time Series of Counts
Dynamic Linear Models (DLMs) are commonly employed for time series analysis due to their versatile structure, simple recursive updating, ability to handle missing data, and probabilistic forecasting. ...
doi.org
March 5, 2025 at 5:03 PM
dan-kowal.bsky.social
Please add, thanks!
November 25, 2024 at 2:23 PM
dan-kowal.bsky.social
Please add me, thanks!
November 18, 2024 at 9:44 PM
dan-kowal.bsky.social
Please add me, thanks!
November 18, 2024 at 9:43 PM
dan-kowal.bsky.social
Please add me, thanks!
November 18, 2024 at 5:00 PM
dan-kowal.bsky.social
I also built a website with examples and software documentation (R package 'SeBR' is on CRAN):

#rstats

drkowal.github.io/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...
drkowal.github.io
November 12, 2024 at 4:41 PM