
Gradients do grow on trees: a lineartime O( N )dimensional gradient for statistical phylogenetics
Calculation of the loglikelihood stands as the computational bottleneck...
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Massive parallelization boosts big Bayesian multidimensional scaling
Big Bayes is the computationally intensive coapplication of big data an...
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Note on the geodesic Monte Carlo
Geodesic Monte Carlo (gMC) comprises a powerful class of algorithms for ...
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Neural Network Gradient Hamiltonian Monte Carlo
Hamiltonian Monte Carlo is a widely used algorithm for sampling from pos...
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Estimating prediction error for complex samples
Nonuniform random samples are commonly generated in multiple scientific...
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Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices
Modeling correlation (and covariance) matrices is a challenging problem ...
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Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction
We reframe linear dimensionality reduction as a problem of Bayesian infe...
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Andrew Holbrook
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