= Robert Kass
{c}
{wiki}
= Robert E. Kass
{c}
{synonym}
= R. E. Kass
{c}
{synonym}
= Rob Kass
{c}
{synonym}
<Robert Kass> connects <Bayesian statistics> with statistical methods for neural data. His research includes <Bayes factors>, <prior distribution>[prior distributions], asymptotic inference and the analysis of <spike trains>. His institutional research statement describes using <point process>[point-process models] to analyze the timing of neuronal activity and relationships between brain regions.https://www.stat.cmu.edu/~kass/about.html[Author Bio Sketch, Bayesian inference and neural-data analysis]{ref}
A <spike train> is naturally represented by a <point process>: the data include <event> times rather than only a continuous response or total count. A <statistical model> can then express how firing intensity changes with an experimental condition or recent activity. This makes the choice of model part of the scientific question about neural communication, while uncertainty calculations distinguish a fitted pattern from a reproducible relationship.
Homepage: https://www.stat.cmu.edu/~kass/
\Image[https://www.stat.cmu.edu/~kass/rob-photo2.png]
{title=Robert E. Kass}
{width=220}
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