Michael L. Stein

According to our database, Michael L. Stein authored at least 11 papers between 1988 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Neural networks for parameter estimation in intractable models.

Amanda Lenzi, Julie Bessac, Johann Rudi, Michael L. Stein

Comput. Stat. Data Anal., September, 2023

Scalable computations for nonstationary Gaussian processes.

Paul G. Beckman, Christopher Geoga, Michael L. Stein, Mihai Anitescu

Stat. Comput., August, 2023

Fitting Matérn smoothness parameters using automatic differentiation.

Christopher Geoga, Oana Marin, Michel Schanen, Michael L. Stein

Stat. Comput., April, 2023

2019

Modeling and Predicting Chaotic Circuit Data.

Wanting Xu, Michael L. Stein, Ian Wisher

SIAM/ASA J. Uncertain. Quantification, 2019

2017

Maximum Likelihood Estimation for a Smooth Gaussian Random Field Model.

Wanting Xu, Michael L. Stein

SIAM/ASA J. Uncertain. Quantification, 2017

2013

Decorrelation Property of Discrete Wavelet Transform Under Fixed-Domain Asymptotics.

Xiaohui Chang, Michael L. Stein

IEEE Trans. Inf. Theory, 2013

2012

Difference Filter Preconditioning for Large Covariance Matrices.

Michael L. Stein, Jie Chen, Mihai Anitescu

SIAM J. Matrix Anal. Appl., 2012

2011

Local likelihood estimation for nonstationary random fields.

Ethan B. Anderes, Michael L. Stein

J. Multivar. Anal., 2011

2007

An Approach to Producing Space-Time Covariance Functions on Spheres.

Mikyoung Jun, Michael L. Stein

Technometrics, 2007

2001

Local stationarity and simulation of self-affine intrinsic random functions.

Michael L. Stein

IEEE Trans. Inf. Theory, 2001

1988

An application of the theory of equivalence of Gaussian measures to a prediction problem.

Michael L. Stein

IEEE Trans. Inf. Theory, 1988