Discussion of Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection

成果类型:
Editorial Material
署名作者:
Kuusela, Mikael
署名单位:
Carnegie Mellon University
刊物名称:
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
ISSN/ISSBN:
0162-1459
DOI:
10.1080/01621459.2024.2402536
发表日期:
2025
页码:
20-21
关键词: