How do we estimate the duration of a temporal interval in a familiar context? A new study finds that it is appropriate, perhaps even advantageous, to tolerate a small bias in our estimate to reduce ...
Abstract: In complex and dynamic maritime environments, the uncertain navigation intent of target ships (TS) poses a significant challenge for the collision avoidance strategies of unmanned surface ...
Abstract: Radio maps (RMs) are essential for environment-aware communication and sensing, providing location-specific wireless channel information. Existing RM construction methods often rely on ...
The Python rbnet package providing implementations of Recursive Bayesian Networks. Lieck R, Rohrmeier M (2021) Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free ...
In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. We construct a conditional search ...
BEAST2: If you followed other tutorials in this collection, you likely have the BEAST2 package, including BEAST2 itself and TreeAnnotator, installed already. If not, you can downloaded it from the ...
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Empirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach ...
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