In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, ...
A unified modeling framework based on a set of nonlinear mixed models is proposed for flexible modeling of gene expression in real-time PCR experiments. Focus is on estimating the marginal or ...
https://doi.org/10.15609/annaeconstat2009.134.0149 • https://www.jstor.org/stable/10.15609/annaeconstat2009.134.0149 Copy URL This paper investigates the ...
CU Boulder’s Bortz group, in applied math, wins $1.88 million National Institutes of Health grant to study methods for learning models directly from data Data-driven discovery methods are a recently ...
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