928 citations · 929 across the 3 of their papers we have counts for
3 papers
Computing Sparse Jacobians and Hessians Using Algorithmic Differentiation
Bradley M. Bell, Kasper Kristensen
Stochastic scientific models and machine learning optimization estimators have a large number of variables; hence computing large sparse Jacobians and Hessians is important. Algori…
The Multiplicative Mixed Model with the mumm R package as a General and Easy Random Interaction Model Tool
Sofie Pødenphant, Kasper Kristensen, Per B. Brockhoff
Multiplicative mixed models can be applied in a wide range of scientific disciplines, since they are relevant in every situation where an interaction between a fixed effect and a r…
TMB: Automatic Differentiation and Laplace Approximation
Kasper Kristensen, Anders Nielsen, Casper W. Berg +2
TMB is an open source R package that enables quick implementation of complex nonlinear random effect (latent variable) models in a manner similar to the established AD Model Builde…