Simultaneous autoregressive models for spatial extremes

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Simultaneous autoregressive models for spatial extremes

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Functional estimation of anisotropic covariance and autocovariance operators on the sphere

Sparsely Observed Functional Time Series: Theory and Applications

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Statistical limits of high-dimensional inference problems

Random Surface Covariance Estimation by Shifted Partial Tracing

Probabilistic and Bayesian methods for uncertainty quantification of deterministic and stochastic differential equations

Adaptive isogeometric methods with C-1 (truncated) hierarchical splines on planar multi-patch domains

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

Functional lagged regression with sparse noisy observations

Enhancing discrete choice models with representation learning

Distributional Regression and Autoregression via Optimal Transport

Comparison of Three Imputation Methods for Groundwater Level Timeseries

Frequency domain theory for functional time series: Variance decomposition and an invariance principle

Wasserstein Distributionally Robust Learning

High-redshift metallicity calibrations for JWST spectra: insights from line emission in cosmological simulations