Multiscale Spatial Density Smoothing: An Application to Large-Scale Radiological Survey and Anomaly Detection-Reference-Cited by-同舟云学术

Multiscale Spatial Density Smoothing: An Application to Large-Scale Radiological Survey and Anomaly Detection

Published:2017-07-03 Issue:519 Volume:112 Page:1047-1063
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Tansey Wesley¹,Athey Alex²,Reinhart Alex³^ORCID,Scott James G.⁴⁵

Affiliation:

1. Department of Computer Science, University of Texas at Austin, TX

2. Applied Research Laboratories, University of Texas at Austin, TX

3. Department of Statistics, Carnegie Mellon University, Pittsburgh, PA

4. Department of Information, Risk, and Operations Management

5. Department of Statistics and Data Sciences, University of Texas at Austin, TX

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2016.1276461

Reference53 articles.

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2. Routine Surveys for Gamma-Ray Background Characterization

3. Hierarchical Modeling and Analysis for Spatial Data

4. Bandwidth selection for kernel conditional density estimation

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