A scalable approach for continuous time Markov models with covariates
Farhad Hatami, Alex Ocampo, Gordon Graham, Thomas E. Nichols, Habib Ganjgahi
The paper introduces a scalable method for fitting continuous time Markov models with covariates using stochastic gradient descent and Pade approximation, showing improved performance on a large-scale dataset.
Biostatistics · May 31, 2023Peer-reviewedBioinformatics