Abstract: In this letter, we investigate channel estimation in integrated sensing and communication and propose a joint sparse Bayesian learning (JSBL) algorithm for the estimation of sensing and ...
Abstract: This paper introduces a new approach to single image blind deblurring via Bayesian estimation using expected loss, diverging from traditional maximum a posteriori (MAP) estimation methods ...
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 ...
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