11 citations · 33 across the 17 of their papers we have counts for
4 papers · 1 filter
Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data
Andrew J. Holbrook, Charles E. Loeffler, Seth R. Flaxman +1
The Hawkes process and its extensions effectively model self-excitatory phenomena including earthquakes, viral pandemics, financial transactions, neural spike trains and the spread…
Efficient Bayesian Inference of General Gaussian Models on Large Phylogenetic Trees
Paul Bastide, Lam Si Tung Ho, Guy Baele +2
Phylogenetic comparative methods correct for shared evolutionary history among a set of non-independent organisms by modeling sample traits as arising from a diffusion process alon…
A systematic approach to improving the reliability and scale of evidence from health care data
Martijn J. Schuemie, Patrick B. Ryan, George Hripcsak +2
Concerns over reproducibility in science extend to research using existing healthcare data; many observational studies investigating the same topic produce conflicting results, eve…
Reuse, recycle, reweigh: Combating influenza through efficient sequential Bayesian computation for massive data
Jennifer A. Tom, Janet S. Sinsheimer, Marc A. Suchard
Massive datasets in the gigabyte and terabyte range combined with the availability of increasingly sophisticated statistical tools yield analyses at the boundary of what is computa…