1 code implementation • 3 Dec 2021 • Ali Amiryousefi, Ville Kinnula, Jing Tang
The marginal Bayesian predictive classifiers (mBpc) as opposed to the simultaneous Bayesian predictive classifiers (sBpc), handle each data separately and hence tacitly assumes the independence of the observations.
no code implementations • 25 Nov 2021 • Ali Amiryousefi
The standard approach to estimate species trees is to align a selected set of genes, concatenate the alignments and then estimate a consensus tree.
no code implementations • 18 Mar 2021 • Ali Amiryousefi
These two cases are the main focus of this thesis and based on Bayesian inductive theories, de Finetti type exchangeability is a suitable assumption that facilitates the derivation of classifiers in the former scenario.
no code implementations • 26 Jan 2021 • Ali Amiryousefi
The convergence of simultaneous and marginal predictive classifiers under partition exchangeability in supervised classification is obtained.