Genome and metagenome comparisons based on large amounts of next-generation
sequencing (NGS) data pose significant challenges for alignment-based approaches due to …

Background Identification of essential genes is not only useful for our understanding of the
minimal gene set required for cellular life but also aids the identification of novel drug targets …

Statistical modelling of wind speed is of great importance in the evaluation of wind farm
performance and power production. Various models have been proposed in the literature …

Discrete stochastic models are tools that allow us to understand, control, and optimize
engineering systems and processes. This book provides real-life examples and illustrations …

In basketball, the offensive movements on both strong and weak sides and tactical behavior
play major roles in the effectiveness of a team's offense. In the literature, studies are mostly …

We address the problem of learning the Markov order in categorical sequences that
represent paths in a network, ie, sequences of variable lengths where transitions between …

We introduce the Conditional Mutual Information (CMI) for the estimation of the Markov chain
order. For a Markov chain of K symbols, we define CMI of order m, Ic (m), as the mutual …

The complexity of the primary structure of human DNA is explored using methods from
nonequilibrium statistical mechanics, dynamical systems theory, and information theory. A …

In this paper, the key‐role and utility of statistics and probability theory in the field of
renewable energy are emphasized and illustrated via specific examples. It is demonstrated …

Besides the different approaches suggested in the literature, accurate estimation of the order
of a Markov chain from a given symbol sequence is an open issue, especially when the …