1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2026
Structured Secant Methods to Select Smoothing Parameters for General Smooth Models
Joshua Krause, Jelmer P. Borst, Jacolien van Rij
General smooth models replace parameters of a regular likelihood with additive models. The models can include parametric terms, Gaussian random effects, and smooth functions of cov…
stat.ME2025★ 1 cited
The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
Joshua Krause, Jelmer P. Borst, Jacolien van Rij
Additive smooth models, such as Generalized additive models (GAMs) of location, scale, and shape (GAMLSS), are a popular choice for modeling experimental data. However, software av…