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4 papers · 1 filter
Additivity of Information in Multilayer Networks via Additive Gaussian Noise Transforms
Galen Reeves
Multilayer (or deep) networks are powerful probabilistic models based on multiple stages of a linear transform followed by a non-linear (possibly random) function. In general, the…
Equality of the Jellium and Uniform Electron Gas next-order asymptotic terms for Coulomb and Riesz potentials
Codina Cotar, Mircea Petrache
We consider two sharp next-order asymptotics problems, namely the asymptotics for the minimum energy for optimal point configurations and the asymptotics for the many-marginals Opt…
Using clustering of rankings to explain brand preferences with personality and socio-demographic variables
Daniel Müllensiefen, Christian Hennig, Hedie Howells
The primary aim of market segmentation is to identify relevant groups of consumers that can be addressed efficiently by marketing or advertising campaigns. This paper addresses the…
Analyzing Car Thefts and Recoveries with Connections to Modeling Origin-Destination Point Patterns
Shinichiro Shirota, Alan E Gelfand, Jorge Mateu
For a given region, we have a dataset composed of car theft locations along with a linked dataset of recovery locations which, due to partial recovery, is a relatively small subset…