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Density evolution for LDPC codes construction under AWGN-channel: reciprocal-channel approximation (RCA), Gaussian Evolution, Covariance Evolution
Distributed Random Forest in Apache Flink
Code to implement the approximate Gibbs sampler for efficient inference of the hierarchical Bayesian model for grouped count data. The performance of the proposed sampler is compared against that of the start-of-the-art algorithm, the No-U-Turn-Sampler (NUTS) used by default in Stan.
Approximations for the Wright-Fisher model of population dynamics under natural selection at two linked loci