empirical orthogonal functions 1low-rank approximation 1spatial statistics 1state-space models 1temperature simulation 1
From the 1 of 3 linked papers with an AI index.
3 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…
cs.SI2026
LLY Ricci Reweighting in Stochastic Block Models: Uniform Curvature Concentration and Finite-Horizon Tracking
Varun Kotharkar
We study curvature-driven edge reweighting for community recovery in the balanced two-block stochastic block model. Given a graph G with initial weights equal to the adjacency matr…
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…