69 citations · 324 across the 26 of their papers we have counts for
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stat.ME2020
Soft Random Graphs in Probabilistic Metric Spaces & Inter-graph Distance
Kangrui Wang, Dalia Chakrabarty
We present a new method for learning Soft Random Geometric Graphs (SRGGs), drawn in probabilistic metric spaces, with the connection function of the graph defined as the marginal p…
stat.ME2018★ 1 cited
Deep Bayesian Supervised Learning given Hypercuboidally-shaped, Discontinuous Data, using Compound Tensor-Variate & Scalar-Variate Gaussian Processes
Kangrui Wang, Dalia Chakrabarty
We undertake Bayesian learning of the high-dimensional functional relationship between a system parameter vector and an observable, that is in general tensor-valued. The ultimate a…
stat.ME2017
Correlation between Multivariate Datasets, from Inter-Graph Distance computed using Graphical Models Learnt With Uncertainties
Kangrui Wang, Dalia Chakrabarty
We present a method for simultaneous Bayesian learning of the correlation matrix and graphical model of a multivariate dataset, along with uncertainties in each, to subsequently co…