Nonparametric estimation of marginal effects in regression-spline random effects models
Sign Up to like & getrecommendations! Published in 2020 at "Econometric Reviews"
DOI: 10.1080/07474938.2020.1772569
Abstract: Abstract We consider a B-spline regression approach toward nonparametric modeling of a random effects (error component) model. We focus our attention on the estimation of marginal effects (derivatives) and their asymptotic properties. Theoretical underpinnings are… read more here.
Keywords: regression; marginal effects; random effects; nonparametric estimation ... See more keywords
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2805813
Abstract: Numerous experimental data show that human brain can represent probability distributions and perform Bayesian inference. However, it remains unclear how the brain implements probabilistic inference in the form of neural circuits. Several models have been… read more here.
Keywords: map estimation; recurrent neural; marginal inference; estimation marginal ... See more keywords