Student dropout is a problem that educational researchers have been concerned about for years. Much attention has been directed towards first-time freshman, who are particularly vulnerable at the beginning of their academic careers according to historical research data. Therefo…
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In binary-transaction data-mining, traditional frequent itemset mining often produces results which are not straightforward to interpret. To overcome this problem, probability models are often used to produce more compact and conclusive results, albeit with some loss of accuracy…
In this thesis we consider some finite mixture time series models in which each component is following a well-known process, e.g. AR, ARMA or ARMA-GARCH process, with either normal-type errors or Student-t type errors. We develop MCMC methods and use them in the Bayesian analysi…