Publications related to Data analysis

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Data analysis

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On distributional autoregression and iterated transportation

Spectral Estimators for High-Dimensional Matrix Inference

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Partial discharge localization in power transformer tanks using machine learning methods

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

Intraday solar irradiance forecasting using public cameras

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

Novel theory and potential applications of central diastolic pressure decay time constant

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems