BACKGROUND Prioritizing individual rare variants within associated genes or regions often consists of an ad hoc combination of statistical and biological considerations. From the statistical perspective, rare variants are often ranked using Fisher's exact p values, which can lead to different rankings of the same set of variants depending on whether 1- or 2-sided p values are used. RESULTS We...

Multitask Gaussian processes (MTGP) are the process (GP) framework’s solution for multioutput regression problems in which T elements of regressors cannot be considered conditionally independent given observations. Standard MTGP models assume that there exist both a multitask covariance matrix as function an intertask matrix, and noise matrix. These matrices need to approximated by low rank sim...

Hidden Markov models (HMMs) have been widely used for anomaly and change point detection due to their representation power computational efficiency in capturing statistical dependencies time series. However, often information is integrated over relatively long observation windows, with detections made when the observed sequence’s likelihood under (null) HMM deviates significantly from its typic...

Supervised segmentation of piecewise-homogeneous image textures using a modified conditional Gibbs model with multiple pairwise pixel interactions is considered. The modification takes into account that interregion interactions are usually different for the training sample and test images. Parameters of the model learned from a given training sample include a characteristic pixel neighbourhood ...