Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: Many practical problems emphasize the importance of not only knowing whether an element is selected but also deciding to what extent it is selected, which imposes a challenge on submodule ...

Abstract: Estimating the reliability of electronic devices involves identification of failure mechanisms and prediction of lifetimes. For parameter estimation and failure mode identification in ...

In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...

uses Maximum Likelihood Estimation (MLE) to distribute multi-gene UMIs among their genes, taking into account other UMIs (both unique- and multi-gene) from the same cell (i.e. with the same CB).

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