SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 841–850 of 2226 papers

TitleStatusHype
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework—0
Bayesian data fusion with shared priors—0
A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics—0
PRISM: Probabilistic Real-Time Inference in Spatial World Models—0
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models—0
Multielement polynomial chaos Kriging-based metamodelling for Bayesian inference of non-smooth systems—0
Are you using test log-likelihood correctly?—0
Trust and Time Preference: Measuring a Causal Effect in a Random-Assignment Experiment—0
Double Robust Bayesian Inference on Average Treatment Effects—0
A Search and Detection Autonomous Drone System: from Design to Implementation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified