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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 901–950 of 2226 papers

TitleStatusHype
A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
Efficient Attack Graph Analysis through Approximate Inference—0
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference—0
Efficient Approximate Inference with Walsh-Hadamard Variational Inference—0
Epidemic mitigation by statistical inference from contact tracing data—0
Bayesian Inference for Structured Spike and Slab Priors—0
Episodic memory for continual model learning—0
A Parzen-based distance between probability measures as an alternative of summary statistics in Approximate Bayesian Computation—0
ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction—0
Efficient acquisition rules for model-based approximate Bayesian computation—0
Estimating Bayesian Optimal Treatment Regimes for Dichotomous Outcomes using Observational Data—0
Estimating Compact Yet Rich Tree Insertion Grammars—0
Bayesian inference for spatio-temporal spike-and-slab priors—0
Dynamics on Lie groups with applications to attitude estimation—0
Bayesian Inference for Radar Imagery Based Surveillance—0
Estimating the impact of non-pharmaceutical interventions and vaccination on the progress of the COVID-19 epidemic in Mexico: a mathematical approach—0
Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data—0
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference—0
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization—0
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction—0
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models—0
Dynamic Likelihood-free Inference via Ratio Estimation (DIRE)—0
Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors—0
Data Augementation with Polya Inverse Gamma—0
Evidence of Replica Symmetry Breaking under the Nishimori conditions in epidemic inference on graphs—0
A Parameter-Free Learning Automaton Scheme—0
A Distributed Framework for the Construction of Transport Maps—0
Exact Bayesian inference for off-line change-point detection in tree-structured graphical models—0
Dynamic Calibration of Nonlinear Sensors with Time-Drifts and Delays by Bayesian Inference—0
Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control—0
Exchangeable Variational Autoencoders with Applications to Genomic Data—0
Exoplanet Characterization using Conditional Invertible Neural Networks—0
Bayesian Inference for Optimal Transport with Stochastic Cost—0
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference—0
Experimentally detecting a quantum change point via Bayesian inference—0
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification—0
Exploiting Dynamic Sparsity for Near-Field Spatial Non-Stationary XL-MIMO Channel Tracking—0
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem—0
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach—0
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory—0
Bayesian Inference for Neighborhood Filters With Application in Denoising—0
Bayesian Inference for Multidimensional Welfare Comparisons—0
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring—0
Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference—0
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data—0
Extending the statistical software package Engine for Likelihood-Free Inference—0
Extension of compressive sampling to binary vector recovery for model-based defect imaging—0
Factorized Asymptotic Bayesian Inference for Factorial Hidden Markov Models—0
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
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Benchmark Results

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