Distributed Bayesian Inference in Massive Spatial Data-Reference-Cited by-同舟云学术

Distributed Bayesian Inference in Massive Spatial Data

Published:2023-05-01 Issue:2 Volume:38 Page:
ISSN:0883-4237
Container-title:Statistical Science
language:
Short-container-title:Statist. Sci.

Author:

Guhaniyogi Rajarshi¹,Li Cheng²,Savitsky Terrance³,Srivastava Sanvesh⁴

Affiliation:

1. Rajarshi Guhaniyogi is Associate Professor, Department of Statistics, Texas A & M University, College Station, Texas 77843, USA

2. Cheng Li is Assistant Professor, Department of Statistics and Data Science, National University of Singapore, Singapore

3. Terrance Savitsky is Senior Research Mathematical Statistician, U.S. Bureau of Labor Statistics, Washington D.C. 20212, USA

4. Sanvesh Srivastava is Associate Professor, Department of Statistics and Actuarial Science, The University of Iowa, Iowa City, Iowa 52240, USA

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

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4. WENDLAND, H. (2005). Scattered Data Approximation. Cambridge Monographs on Applied and Computational Mathematics 17. Cambridge Univ. Press, Cambridge.

5. YANG, Y., PILANCI, M. and WAINWRIGHT, M. J. (2017). Randomized sketches for kernels: Fast and optimal nonparametric regression. Ann. Statist. 45 991–1023.

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