14 citations · 24 across the 2 of their papers we have counts for
2 papers
stat.CO2013★ 10 cited
Efficient Data Augmentation in Dynamic Models for Binary and Count Data
Jesse Windle, Carlos M. Carvalho, James G. Scott +1
Dynamic linear models with Gaussian observations and Gaussian states lead to closed-form formulas for posterior simulation. However, these closed-form formulas break down when the…
stat.CO2013★ 14 cited
Expectation-maximization for logistic regression
James G. Scott, Liang Sun
We present a family of expectation-maximization (EM) algorithms for binary and negative-binomial logistic regression, drawing a sharp connection with the variational-Bayes algorith…