Showing results 2 to 13 of 13
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| Issue Date | Title | Author(s) |
| 13-Jul-2015 | Bayesian Estimation of Density via Multiple Sequential Inversions of Two-Dimensional Images With Application to Electron Microscopy | Chakrabarty, D; Rigat, F; Gabrielyan, N; Beanland, R; Paul, S |
| 2015 | Bayesian nonparametric estimation of Milky Way parameters using matrix-variate data, in a new Gaussian Process based method | Chakrabarty, D; Biswas, M; Bhattacharya, S |
| 19-Oct-2023 | Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease score | Chakrabarty, D; Wang, K; Roy, G; Bhojgaria, A; Zhang, C; Pavlu, J; Chakrabartty, J |
| 6-Nov-2018 | Correlation between Multivariate Datasets, from Inter-Graph Distance computed using Graphical Models Learnt With Uncertainties | Wang, K; Chakrabarty, D |
| 16-Apr-2018 | Deep Bayesian Supervised Learning given Hypercuboidally-shaped, Discontinuous Data, using Compound Tensor-Variate & Scalar-Variate Gaussian Processes | Wang, K; Chakrabarty, D |
| 2023 | Efficient Uncertainty Quantification for Under-constraint Prediction following Learning using MCMC | Roy, G; Chakrabarty, D |
| 1-Feb-2014 | Inverse Bayesian Estimation of Gravitational Mass Density in Galaxies from Missing Kinematic Data | Chakrabarty, D; Saha, P |
| 2019 | Learning in the absence of training data—A galactic application | Spire, C; Chakrabarty, D |
| 7-Oct-2016 | A New Bayesian Test to Test for the Intractability-Countering Hypothesis | Chakrabarty, D |
| 19-Mar-2024 | Reliable uncertainties of tests and surveys – a data-driven approach | Chakrabartty, SN; Wang, K; Chakrabarty, D |
| 2020 | Soft Random Graphs in Probabilistic Metric Spaces & Inter-graph Distance | Wang, K; Chakrabarty, D |
| 11-Mar-2015 | Uncertainty in Test Score Data and Classically Defined Reliability of Tests and Test Batteries, using a New Method for Test Dichotomisation | Chakrabarty, SN; Wang, K; Chakrabarty, D |
