Automatic Differentiation to Facilitate Maximum Likelihood Estimation in Nonlinear Random Effects Models

By Hans Julius Skaug. 2002

53 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e20aec1bf345e8c2eedb3f37f7923d60effae576

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. M. Fedak
2. Bernie McConnell
3. G. Aarts
4. Jason Matthiopoulos
5. Monique Lea Mackenzie

In Statistics and Probability

1. M. Fedak
2. Bernie McConnell
3. G. Aarts
4. Jason Matthiopoulos
5. Monique Lea Mackenzie

Citations in the corpus

• Estimating space‐use and habitat preference from wildlife telemetry data (2008, methodology): “It then uses automatic differentiation to obtain exact derivatives of this approximation, which it maximizes with a quasiNewton method (Skaug 2002).”