Statistics & Data Science · Statistical Computing

Numerical Optimisation

A topic within Statistical Computing, itself one of 7 topics in that field and part of Statistics & Data Science.

Reading on Numerical Optimisation

2 works

Paper2011

Unifying Optimization Algorithms to Aid Software System Users: optimx for R

John C. Nash & Ravi Varadhan

Compares R's competing general-purpose optimisers on a common set of test problems and shows none of them dominates, which is why optimx wraps rather than replaces them.

link checked 17 Sept 2026

Statistics & Data Science · Statistical Computing

FreeIntermediate

Paper1977

Maximum Likelihood from Incomplete Data via the EM Algorithm

Arthur P. Dempster, Nan M. Laird & Donald B. Rubin

Formalises the EM algorithm as a general way to maximise a likelihood when data are incomplete, alternating between guessing the missing part and refitting the model.

link checked 17 Sept 2026

Statistics & Data Science · Statistical Computing

FreeAdvanced

Reading on Numerical Optimisation

Unifying Optimization Algorithms to Aid Software System Users: optimx for R

Maximum Likelihood from Incomplete Data via the EM Algorithm

Other topics in Statistical Computing