Researchers developed NestedBD, a Bayesian phylogenetic framework that infers single-cell evolutionary trees, branch lengths, ...
Researchers analyzing over 3,000 Arctic charr matings demonstrated that multiplicative Bayesian liability models and pedigree ...
When mapping mortality rates by municipality, towns with smaller populations tend to show very high or very low colors. This ...
Mathematical modeling is akin to magic.When you learn Bayesian statistics, other people's beliefs start to look like problems ...
Bayesian modelling portfolio: price elasticity, MCMC, HMMs, GMM/EM, segment conversion, and a deployed Bayesian model with drift monitoring - sdiazricagno/bayesian-modelling ...
Experimental results across trade, bargaining and auctions show that disclosure effects vary by model and market structure.
Researchers explore AI's role in scientific modeling, from historical breakthroughs to modern Bayesian frameworks like ModelSMC.
Researchers must often choose between Bayesian or neural network models of behavior, two paradigms with complementary strengths and weaknesses. An ideal paradigm would facilitate testing many kinds of ...
Introduction Health campaigns reach populations that routine services miss yet remain planned and delivered vertically by ...
IM] Gaia Data Release 4 (DR4) provides epoch astrometry from which thousands of giant planets and many substellar and stellar ...
An IMF study introduces a modern Bayesian forecasting framework that improves central banks' ability to assess inflation, interest rates and economic growth while reducing uncertainty in monetary ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results