Computer Science
5 years ago

Revolutionizing Data Analysis: Maximum Likelihood Parameter Estimation Unveiled!

1 view
Cambridge University Press eBooks
Maximum Likelihood Parameter Estimation
Simon Farrell, Stephan Lewandowsky

Paper Summary

The article discusses how to estimate parameters in a computational model by using maximum likelihood estimation. This method helps find the best values for the model's parameters by comparing the model's predictions with the actual data. It is a more systematic way to estimate parameters compared to other methods.

Related papers

Theme background image
Mathematics
8 years ago

New method more efficient for estimating Gamma model parameters in real life

Multicollinearity
Transportation Optimization
Grey System Theory
1 view
Theme background image
Engineering
8 years ago

Not all parameters have maximum likelihood estimation, study finds.

Optoelectronic Systems
Control Systems
Intelligent Monitoring
2 views
Theme background image
Engineering
8 years ago

Revolutionizing Parameter Estimation: Evolution Strategies for Optimal Solutions in Statistics

Control Systems
Shift-Share Analysis
2 views