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parameter estimation

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TitleStatusHype
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance—0
A Comparative Study on Parameter Estimation in Software Reliability Modeling using Swarm Intelligence—0
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation—0
A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth—0
Adaptive Observer for a Class of Systems with Switched Unknown Parameters Using DREM—0
A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data—0
A new algorithm for structural restrictions in Bayesian vector autoregressions—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models—0
A Closed-Form Solution to Tensor Voting: Theory and Applications—0
A hybrid tau-leap for simulating chemical kinetics with applications to parameter estimation—0
Adaptive Input Design for Nonlinear System Identification with Operational Constraints—0
A Hybrid Antenna Switching Scheme for Dynamic Channel Sounding—0
A Hierarchical Probabilistic Model for Facial Feature Detection—0
AI-empowered Channel Estimation for Block-based Active IRS-enhanced Hybrid-field IoT Network—0
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges—0
AI-Powered Dynamic Fault Detection and Performance Assessment in Photovoltaic Systems—0
A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes—0
A Latent-class Model for Estimating Product-choice Probabilities from Clickstream Data—0
A Latent Gaussian Mixture Model for Clustering Longitudinal Data—0
Adaptive observer of state variables of a nonlinear time varying system with unknown constant parameters—0
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models—0
Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo—0
A Likelihood Ratio Approach for Probabilistic Inequalities—0
A MAP approach for _q-norm regularized sparse parameter estimation using the EM algorithm—0
Ambiguities in Direction-of-Arrival Estimation with Linear Arrays—0
Adaptive Event-triggered Control For Strict-feedback Systems With Time-varying Parameters—0
Online stochastic gradient descent on non-convex losses from high-dimensional inference—0
A Bayesian Inference Framework for Procedural Material Parameter Estimation—0
Component-wise Adaptive Trimming For Robust Mixture Regression—0
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions—0
Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flows—0
A genomic map of the effects of linked selection in Drosophila—0
Adaptive Dual Covariance Steering with Active Parameter Estimation—0
Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting—0
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning—0
Adaptive Cooperative Tracking and Parameter Estimation of an Uncertain Leader over General Directed Graphs—0
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts—0
Adaptive Deep Neural Network-Based Control Barrier Functions—0
A Probabilistic Bayesian Approach to Recover R_2^* map and Phase Images for Quantitative Susceptibility Mapping—0
Synthesizing Datalog Programs Using Numerical Relaxation—0
A General O(n^2) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM—0
A Generalized Probabilistic Framework for Compact Codebook Creation—0
Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms—0
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression—0
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT—0
Adaptive calibration of Heston Model using PCRLB based switching Filter—0
4-D Scene Alignment in Surveillance Video—0
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions—0
Online Covariance Matrix Estimation in Stochastic Gradient Descent—0
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