Approaching problems with data-driven models often requires reliable uncertainty estimates. Bayesian neural networks can offer these for deep learning models. Without the knowledge to set informative ...
Title Comparing maximum likelihood and Bayesian methods for fitting Hidden Markov Models to multi-state capture recapture data of invasive Silver Carp in the Illinois River ...
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