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05/29/2019
Gradients do grow on trees: a linear-time O( N )-dimensional gradient for statistical phylogenetics
Calculation of the log-likelihood stands as the computational bottleneck...
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05/11/2019
Massive parallelization boosts big Bayesian multidimensional scaling
Big Bayes is the computationally intensive co-application of big data an...
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05/14/2018
Note on the geodesic Monte Carlo
Geodesic Monte Carlo (gMC) comprises a powerful class of algorithms for ...
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11/14/2017
Neural Network Gradient Hamiltonian Monte Carlo
Hamiltonian Monte Carlo is a widely used algorithm for sampling from pos...
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11/13/2017
Estimating prediction error for complex samples
Non-uniform random samples are commonly generated in multiple scientific...
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11/08/2017
Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices
Modeling correlation (and covariance) matrices is a challenging problem ...
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06/14/2016