Abstract: Learning dynamical networks based on time series of nodal states is of significant interest in systems science, computer science, and control engineering. Despite recent progress in network ...

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...

Get a simple explanation of Bayes’ Theorem that anyone can understand, even with no advanced math background. This video breaks the idea down using clear examples and intuitive reasoning to show how ...

Abstract: We propose a simple-soft-output scheme including the trace-back reliability for MLSE and show its applicability to SD-FEC with low and high overheads through 200-GBd PAM4 transmission. We ...

bde is a user-friendly implementation of Bayesian Deep Ensembles compatible with both scikit-learn and JAX. It exposes estimators that plug into scikit-learn pipelines while leveraging JAX for ...

'Tis the season for holiday gift guides. You know, the ones that suggest 31 fish gifts for your fish-obsessed friends. They're everywhere this time of year, though nowhere quite as surprising as a ...