Numerical Maximisation of Likelihood: A Neglected Alternative to EM?

By I. MacDonald. 2014

70 citations recorded by the source corpus.

Subfields: Environmental Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c7f846a9407cc9a6e972352bc018eb7a3793c56a

How researchers see this paper

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

In Environmental Engineering

1. John Calambokidis
2. B. Southall
3. Roland Langrock
4. J. Goldbogen
5. S. DeRuiter
6. Ari S. Friedlaender
7. Tomas Skirbutas

In Management Science and Operations Research

1. John Calambokidis
2. B. Southall
3. Roland Langrock
4. J. Goldbogen
5. S. DeRuiter
6. Ari S. Friedlaender
7. Tomas Skirbutas

In Statistics and Probability

1. John Calambokidis
2. B. Southall
3. Roland Langrock
4. J. Goldbogen
5. S. DeRuiter
6. Ari S. Friedlaender
7. Tomas Skirbutas

Citations in the corpus

• A multivariate mixed hidden Markov model for blue whale behaviour and responses to sound exposure (2017, methodology): “This renders it computationally feasible and convenient to estimate the model parameters by numerically maximising the likelihood [MacDonald (2014)].”