A Bayesian multinomial study of Bangladeshi dairy herds identified retained placenta as the dominant predictor of latent and ...
Researchers have algebraically quantified verification bias in conditional diagnostic study designs and developed Bayesian ...
Authors Christopher B. DuRoss, Scott E.K. Bennett, Richard W. Briggs, Stephen Personius, Ryan D. Gold, Nadine G. Reitman, Adam I. Hiscock, Shannon A. Mahan ...
The linear mixed model (LMM) has emerged as a powerful statistical tool in genetic association studies, enabling researchers to control for population structure and relatedness among study ...
Researchers explore AI's role in scientific modeling, from historical breakthroughs to modern Bayesian frameworks like ModelSMC.
Authors Charles B Yackulic, Maria C Dzul, Jane A Reid, Jamie S. Sanderlin, William M. Block, Joseph L. Ganey, Michael J Dodrill, Mike D Yard ...
Bayesian modelling portfolio: price elasticity, MCMC, HMMs, GMM/EM, segment conversion, and a deployed Bayesian model with drift monitoring - sdiazricagno/bayesian-modelling ...