An Efficient Method of Sampling for Statistical Circuit Design. - Michael L. Stein (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1986)

An application of the theory of equivalence of Gaussian measures to a prediction problem. - Michael L. Stein (IEEE Trans. Inf. Theory, 1988)

Local stationarity and simulation of self-affine intrinsic random functions. - Michael L. Stein (IEEE Trans. Inf. Theory, 2001)

An Approach to Producing Space-Time Covariance Functions on Spheres. - Mikyoung Jun; Michael L. Stein (Technometrics, 2007)

Local likelihood estimation for nonstationary random fields. - Ethan B. Anderes; Michael L. Stein (J. Multivar. Anal., 2011)

Difference Filter Preconditioning for Large Covariance Matrices. - Michael L. Stein; Jie Chen 007; Mihai Anitescu (SIAM J. Matrix Anal. Appl., 2012)

Decorrelation Property of Discrete Wavelet Transform Under Fixed-Domain Asymptotics. - Xiaohui Chang; Michael L. Stein (IEEE Trans. Inf. Theory, 2013)

Maximum Likelihood Estimation for a Smooth Gaussian Random Field Model. - Wanting Xu; Michael L. Stein (SIAM/ASA J. Uncertain. Quantification, 2017)

Modeling and Predicting Chaotic Circuit Data. - Wanting Xu; Michael L. Stein; Ian Wisher (SIAM/ASA J. Uncertain. Quantification, 2019)

Fitting Matérn smoothness parameters using automatic differentiation. - Christopher J. Geoga; Oana Marin; Michel Schanen; Michael L. Stein (Stat. Comput., 2023)

Scalable computations for nonstationary Gaussian processes. - Paul G. Beckman; Christopher J. Geoga; Michael L. Stein; Mihai Anitescu (Stat. Comput., 2023)

Neural networks for parameter estimation in intractable models. - Amanda Lenzi; Julie Bessac; Johann Rudi; Michael L. Stein (Comput. Stat. Data Anal., 2023)

A Scalable Method to Exploit Screening in Gaussian Process Models with Noise. - Christopher J. Geoga; Michael L. Stein (J. Comput. Graph. Stat., 2024)

Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models. - Raphaël Huser; Michael L. Stein; Peng Zhong (J. Comput. Graph. Stat., 2024)