基本信息
浏览量:162
职业迁徙
个人简介
Statistics underpins many areas of scientific research and Dr Singh's research is geared towards developing statistical methodology which is of generic importance for applications in Engineering and Statistics. His recent work focuses on Sequential Monte Carlo and Markov Chain Monte Carlo, two indispensable tools in Computational Statistics.
Dr Singh's work is also driven by the statistical signal processing challenges of specific applications, most recently in Single Molecule Fluorescence Microscopy, Multi-target tracking, and Inverse Reinforcement learning.
Dr Singh's work is also driven by the statistical signal processing challenges of specific applications, most recently in Single Molecule Fluorescence Microscopy, Multi-target tracking, and Inverse Reinforcement learning.
研究兴趣
论文共 112 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
STATISTICA SINICA (2024): 1215-1239
arXiv (Cornell University)no. 2 (2024): 364-378
arxiv(2023)
引用0浏览0引用
0
0
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGYno. 1 (2023): 46-66
arXiv (Cornell University) (2023)
Journal of the American Statistical Associationno. 540 (2022): 2182-2193
ArXiv (2022)
加载更多
作者统计
#Papers: 112
#Citation: 6199
H-Index: 30
G-Index: 78
Sociability: 5
Diversity: 3
Activity: 13
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn