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| A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation | Oct 9, 2023 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data | Jul 22, 2022 | Dimensionality Reductionparameter estimation | —Unverified | 0 |
| A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions | Jul 7, 2024 | cognitive diagnosisparameter estimation | —Unverified | 0 |
| A Survey of Monte Carlo Methods for Parameter Estimation | Jul 25, 2021 | parameter estimationSurvey | —Unverified | 0 |
| Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated Shifted Asymmetric Laplace Distributions | Feb 26, 2014 | parameter estimation | —Unverified | 0 |
| Asymptotic and finite-sample properties of estimators based on stochastic gradients | Aug 13, 2014 | parameter estimation | —Unverified | 0 |
| A transport approach to sequential simulation-based inference | Aug 26, 2023 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| 3D Room Geometry Inference from Multichannel Room Impulse Response using Deep Neural Network | Jan 19, 2024 | parameter estimation | —Unverified | 0 |