SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1911–1920 of 2226 papers

TitleStatusHype
Bayesian Inference of Log Determinants—0
Efficient acquisition rules for model-based approximate Bayesian computation—0
Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functionsCode0
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models—0
Cohort effects in mortality modelling: a Bayesian state-space approach—0
An embedded segmental K-means model for unsupervised segmentation and clustering of speechCode0
Inference of epidemiological parameters from household stratified data—0
Differentially Private Bayesian Learning on Distributed DataCode0
The variational Laplace approach to approximate Bayesian inference—0
Signal-based Bayesian Seismic Monitoring—0
Show:102550
← PrevPage 192 of 223Next →

Benchmark Results

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