6 citations · 14 across the 9 of their papers we have counts for
9 papers
Expansion of the Kullback-Leibler Divergence, and a new class of information metrics
David J. Galas, T. Gregory Dewey, James Kunert-Graf +1
Inferring and comparing complex, multivariable probability density functions is fundamental to problems in several fields, including probabilistic learning, network theory, and dat…
Multivariate information measures: a unification using Möbius operators on subset lattices
David J. Galas, Nikita A. Sakhanenko
Information related measures are useful tools for multi variable data analysis, as measures of dependence among variables, and as descriptions of order in biological and physical s…
On Lattices and the Dualities of Information Measures
David J. Galas, Nikita A. Sakhanenko, Benjamin Keller
Measures of dependence among variables, and measures of information content and shared information have become valuable tools of multi-variable data analysis. Information measures,…
Describing the complexity of systems: multi-variable "set complexity" and the information basis of systems biology
David J. Galas, Nikita A. Sakhanenko, Alexander Skupin +1
Context dependence is central to the description of complexity. Keying on the pairwise definition of "set complexity" we use an information theory approach to formulate general mea…
Markov Logic Networks in the Analysis of Genetic Data
Nikita A. Sakhanenko, David J. Galas
Complex, non-additive genetic interactions are common and can be critical in determining phenotypes. Genome-wide association studies (GWAS) and similar statistical studies of linka…
Analysis of Proton Radiography Images of Shock Melted/Damaged Tin
Hanna Makaruk, Nikita A. Sakhanenko, David B. Holtkamp +2
Tin coupons were shock damaged/melted under identical conditions with a diverging high explosive shock wave. Proton Radiography images and velocimetry data from experiments with se…