| Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance | May 29, 2024 | parameter estimationregression | —Unverified | 0 |
| Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo | Aug 3, 2020 | parameter estimation | —Unverified | 0 |
| A Comparative Study on Parameter Estimation in Software Reliability Modeling using Swarm Intelligence | Mar 8, 2020 | parameter estimation | —Unverified | 0 |
| Adaptive observer of state variables of a nonlinear time varying system with unknown constant parameters | May 24, 2023 | parameter estimationregression | —Unverified | 0 |
| Adaptive Observer for a Class of Systems with Switched Unknown Parameters Using DREM | Mar 30, 2022 | parameter estimation | —Unverified | 0 |
| A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth | Sep 23, 2023 | Bayesian InferenceModel Selection | —Unverified | 0 |
| A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data | Jul 19, 2023 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks | Apr 18, 2025 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models | Sep 29, 2014 | ClusteringOnline Clustering | —Unverified | 0 |
| A Closed-Form Solution to Tensor Voting: Theory and Applications | Jan 19, 2016 | Formparameter estimation | —Unverified | 0 |
