6 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 4 cited
How to select an objective function using information theory
Timothy O. Hodson, Thomas M. Over, Tyler J. Smith +1
In machine learning or scientific computing, model performance is measured with an objective function. But why choose one objective over another? Information theory gives one answe…
stat.ME2011★ 6 cited
Approximate Bayesian computation and Bayes linear analysis: Towards high-dimensional ABC
D. J. Nott, Y. Fan, L. Marshall +1
Bayes linear analysis and approximate Bayesian computation (ABC) are techniques commonly used in the Bayesian analysis of complex models. In this article we connect these ideas by…