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Results 1-10 of 12 (Search time: 0.019 seconds).
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Issue DateTitleAuthor(s)
13-Jul-2015Bayesian Estimation of Density via Multiple Sequential Inversions of Two-Dimensional Images With Application to Electron MicroscopyChakrabarty, D; Rigat, F; Gabrielyan, N; Beanland, R; Paul, S
2019Learning in the absence of training data—A galactic applicationSpire, C; Chakrabarty, D
1-Feb-2014Inverse Bayesian Estimation of Gravitational Mass Density in Galaxies from Missing Kinematic DataChakrabarty, D; Saha, P
6-Nov-2018Correlation between Multivariate Datasets, from Inter-Graph Distance computed using Graphical Models Learnt With UncertaintiesWang, K; Chakrabarty, D
11-Mar-2015Uncertainty in Test Score Data and Classically Defined Reliability of Tests and Test Batteries, using a New Method for Test DichotomisationChakrabarty, SN; Wang, K; Chakrabarty, D
7-Oct-2016A New Bayesian Test to Test for the Intractability-Countering HypothesisChakrabarty, D
2015Bayesian nonparametric estimation of Milky Way parameters using matrix-variate data, in a new Gaussian Process based methodChakrabarty, D; Biswas, M; Bhattacharya, S
8-Jan-2023Automated Learning of Gravitational Mass of Elliptical GalaxiesChakrabarty, D
19-Oct-2023Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease scoreChakrabarty, D; Wang, K; Roy, G; Bhojgaria, A; Zhang, C; Pavlu, J; Chakrabartty, J
2020Soft Random Graphs in Probabilistic Metric Spaces & Inter-graph DistanceWang, K; Chakrabarty, D