A structured secant quasi-Newton method (qEFS) for smoothing parameter selection in general smooth models that approximates the Hessian and is easier to implement than exact second-order methods.
The Mixed-Sparse-Smooth- Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Sta- tistical Models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Structured Secant Methods to Select Smoothing Parameters For General Smooth Models
A structured secant quasi-Newton method (qEFS) for smoothing parameter selection in general smooth models that approximates the Hessian and is easier to implement than exact second-order methods.