2 Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, University of Trás-os-Montes e Alto Douro, Portugal 3 Department of Sports Science, ...

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 ...

pathmc is a Python package for Bayesian path analysis and structural causal modeling. You write your causal assumptions as a small set of structural equations in a lavaan-inspired formula language, ...

Abstract: Asymptotic approximations such as the first- and second-order reliability method (FORM, SORM) are sometimes preferred in reliability analysis due to their efficiency. Bayesian updating for ...

Thanks to their rapid evolution, viral genomes can be analyzed and compared to estimate the dispersal history of the virus responsible for an epidemic, a task known as phylogeographic inference. In ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

Also published under: O. B. Akan, Özgür B. Akan, Ozur B. Akan, Ozgur Baris Akan, ÖzgÜr B. Akan, Ozgur Akan Ozgur B. Akan (Fellow, IEEE) received the Ph.D. degree ...

This tutorial will not only outline strategies for eliciting and specifying priors based on existing knowledge but will also demonstrate how these choices affect the results obtained from Bayesian ...

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