18 citations · 34 across the 11 of their papers we have counts for
3 papers · 1 filter
Bayesian Covariance Modelling of Large Tensor-Variate Data Sets Inverse Non-parametric Learning of the Unknown Model Parameter Vector
Kangrui Wang, Dalia Chakrabarty
We present a method for modelling the covariance structure of tensor-variate data, with the ulterior aim of learning an unknown model parameter vector using such data. We express t…
Bayesian Covariance Modelling of Large Tensor-Variate Data Sets Inverse Non-parametric Learning of the Unknown Model Parameter Vector
Kangrui Wang, Dalia Chakrabarty
Tensor-valued data are being encountered increasingly more commonly, in the biological, natural as well as the social sciences. The learning of the unknown model parameter vector g…
Uncertainty in Test Score Data and Classically Defined Reliability of Tests and Test Batteries, using a New Method for Test Dichotomisation
Satyendra Nath Chakrabartty, Kangrui Wang, Dalia Chakrabarty
As with all measurements, the measurement of examinee ability, in terms of scores that the examinee obtains in a test, is also error-ridden. The quantification of such error or unc…