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 1781–1790 of 2226 papers

TitleStatusHype
Bayesian inference for low rank spatiotemporal neural receptive fields—0
Bayesian Inference for Multidimensional Welfare Comparisons—0
Bayesian Inference for Neighborhood Filters With Application in Denoising—0
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification—0
Bayesian Inference for Optimal Transport with Stochastic Cost—0
Data Augementation with Polya Inverse Gamma—0
Bayesian Inference for Radar Imagery Based Surveillance—0
Bayesian inference for spatio-temporal spike-and-slab priors—0
Bayesian Inference for Structured Spike and Slab Priors—0
Bayesian inference for the mixed conditional heteroskedasticity model—0
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Benchmark Results

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