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From the 1 of 5 linked papers with an AI index.

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5 papers

stat.ME2026

An Interpretable Low-Rank State-Space Model for Multi-Horizon Simulation of Large-Scale Regional Temperature Fields

Varun Kotharkar, Michael L. Stein

The paper introduces an interpretable low‑rank state‑space model that uses a few empirical orthogonal function coefficients to simulate daily regional temperature fields over multi…

stat.AP2026

Stochastic weather generators for high-frequency wind vector time series

Mingshi Cui, Kevin Eng, Justin T. Greene +5

Surface winds can vary substantially from one minute to the next, so there is scope for studying its variation on this fine time scale. Restricting to the month of June to minimize…

math.ST2026

Consistent Infill Estimability of the Regression Slope Between Gaussian Random Fields Under Spatial Confounding

Abhirup Datta, Michael L. Stein

The problem of estimating the slope parameter in regression between two spatial processes under confounding by an unmeasured spatial process has received widespread attention in th…

cs.LG2025

DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting

Feng Ye, Xinxi Zhang, Michael Stein +1

To unlock access to stronger winds, the offshore wind industry is advancing towards significantly larger and taller wind turbines. This massive upscaling motivates a departure from…

math.ST2025

Fixed and Increasing Domain Asymptotics for the Roughness and Scale of Isotropic Gaussian Random Fields

Varun Kotharkar, Michael L. Stein

We establish a rigorous asymptotic theory for the joint estimation of roughness and scale parameters in two-dimensional Gaussian random fields with power-law generalized covariance…