Tuan-Hao Hoang

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We consider the cancer post-treatment surveillance to be represented by a discrete observation process with a non-zero false-negative rate. Using a simple stochastic model of cancer recurrence derived within the random minima framework, we obtain parametric estimates of both the time-to-recurrence distribution and the probability of false-negative(More)
Many important ecological datasets are collected irregularly over time. In view of the fact that many time series modelling techniques require regularly spaced intervals, one common approach is to interpolate the data, and then build a model from the interpolated data. However, this may cause negative effects on the performance of models built on the(More)
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