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 426–450 of 2226 papers

TitleStatusHype
Bayesian inference for spatio-temporal spike-and-slab priors—0
A Parzen-based distance between probability measures as an alternative of summary statistics in Approximate Bayesian Computation—0
Bayesian Inference for Structured Spike and Slab Priors—0
Bayesian inference for the mixed conditional heteroskedasticity model—0
Bayesian Inference for the Multinomial Probit Model under Gaussian Prior Distribution—0
Bayesian inference from time series of allele frequency data using exact simulation techniques—0
Bayesian Inference in Cumulative Distribution Fields—0
Bayesian inference in hierarchical models by combining independent posteriors—0
Bayesian Inference in High-Dimensional Time-varying Parameter Models using Integrated Rotated Gaussian Approximations—0
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model—0
Bayesian Inference in Model-Based Machine Vision—0
Bayesian Inference in Physics-Based Nonlinear Flame Models—0
Bayesian Inference in Physics-Driven Problems with Adversarial Priors—0
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems—0
Bayesian Inference in Sparse Gaussian Graphical Models—0
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale—0
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia—0
Bayesian Inference of Bijective Non-Rigid Shape Correspondence—0
Bayesian inference of composition-dependent phase diagrams—0
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization—0
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference—0
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias—0
Bayesian Inference of Log Determinants—0
Bayesian inference of mean velocity fields and turbulence models from flow MRI—0
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport—0
Show:102550
← PrevPage 18 of 90Next →

Benchmark Results

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