78 citations · 210 across the 23 of their papers we have counts for
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stat.ME2023
The projected dynamic linear model for time series on the sphere
John Zito, Daniel Kowal
Time series on the unit n-sphere arise in directional statistics, compositional data analysis, and many scientific fields. There are few models for such data, and the ones that exi…
stat.ME2023★ 1 cited
Ultra-efficient MCMC for Bayesian longitudinal functional data analysis
Thomas Y. Sun, Daniel R. Kowal
Functional mixed models are widely useful for regression analysis with dependent functional data, including longitudinal functional data with scalar predictors. However, existing a…
stat.ME2023★ 3 cited
Monte Carlo inference for semiparametric Bayesian regression
Daniel R. Kowal, Bohan Wu
Data transformations are essential for broad applicability of parametric regression models. However, for Bayesian analysis, joint inference of the transformation and model paramete…