Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Author Chakrabarty, D
Showing results 1 to 14 of 14
Issue Date | Title | Author(s) |
2024 | Asymmetric heavy-tailed robust loss function for regression, regularisation and fast computation | Soomro, Sanna |
8-Jan-2023 | Automated Learning of Gravitational Mass of Elliptical Galaxies | Chakrabarty, D |
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 |