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Bayesian Inference

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

Papers

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Showing 401–450 of 2226 papers

TitleStatusHype
Bayesian inference and role of astrocytes in amyloid-beta dynamics with modelling of Alzheimer's disease using clinical data—0
Bayesian inference and superstatistics to describe long memory processes of financial time series—0
Bayesian inference as a cross-linguistic word segmentation strategy: Always learning useful things—0
Bayesian inference as iterated random functions with applications to sequential inference in graphical models—0
Bayesian Inference by Symbolic Model Checking—0
Bayesian inference for bivariate ranks—0
A Novel Gaussian Process Based Ground Segmentation Algorithm with Local-Smoothness Estimation—0
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review—0
Bayesian inference for dynamic spatial quantile models with interactive effects—0
Bayesian Inference for Gamma Models—0
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC—0
A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach—0
Bayesian Inference for Jump-Diffusion Approximations of Biochemical Reaction Networks—0
Bayesian Inference for Large Scale Image Classification—0
Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification—0
A category theory framework for Bayesian learning—0
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation—0
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
A Parameter-Free Learning Automaton Scheme—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
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
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Benchmark Results

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