Identifiability of nonparametric mixture models and Bayes optimal clustering is a research paper published in The Annals of Statistics (2020). On theSindex it has a DataRank of 0.292. It has been cited 6 times.
Scored on demand from live citation data
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Base Score Contribution
0.292
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Science Foundation
Grant: 1934584
Collaborative Research: Physics-Based Machine Learning for Sub-Seasonal Climate Forecasting
National Institutes of Health
Grant: 5P30DA035778-03
NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)
National Science Foundation
Grant: 1909816
RI: Small: Non-parametric Machine Learning in the Age of Deep and High-Dimensional Models
National Institutes of Health
Grant: 1R01GM114311-01A1
Toward PanOmic and Personalized Association Study of Complex Diseases - A New Statistical and Computational Paradigm for Personalized Medicine
FWCI
0.54
Citation Percentile
0.7%
Influential Citations
3
Citation Trend
Fields of Study
Keywords