Yajun Mei
Statistics and Probability · 2006–2018
A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 14 citations into it; #1,750 of 12,932 by trust here, #5,481 by citations
Whom Yajun Mei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Moshe Pollak
- George V. Moustakides
- Albert N. Shiryaev
- Tze Leung Lai
- Michael Baron
- William H. Woodall
- Martin Kulldorff
- Alexander G. Tartakovsky
- Willis A. Jensen
- Cheng-Der Fuh
Who trusts Yajun Mei overall
- William H. Woodall
- Hock Peng Chan
- Qin Zhou
- Aurélien Garivier
- Taposh Banerjee
- Douglas C. Montgomery
- Rachel Cummings
- Michael C. Robbins
- Changliang Zou
- A. Ryan
Papers from Yajun Mei's perspective
Ordered by how strongly the researchers Yajun Mei trusts endorse each paper. Same corpus, a different order for every researcher.
- Average Run Lengths of an Optimal Method of Detecting a Change in Distribution.
- On Optimum Methods in Quickest Detection Problems
- A Comparison of Some Control Chart Procedures
- Optimality of the CUSUM procedure in continuous time
- Optimal stopping times for detecting changes in distributions
- Sequential changepoint detection in quality control and dynamical systems
- Is Average Run Length to False Alarm Always an Informative Criterion?
- SEQUENTIAL ANALYSIS: SOME CLASSICAL PROBLEMS AND NEW CHALLENGES
- Optimal Detection of a Change in Distribution
- On optimal stopping and free boundary problems
Their papers
- Sequential change-point detection when unknown parameters are present in the pre-change distribution (2006) — 97 citations
- Is Average Run Length to False Alarm Always an Informative Criterion? (2008) — 53 citations
- Efficient scalable schemes for monitoring a large number of data streams (2010) — 166 citations
- EARLY DETECTION OF A CHANGE IN POISSON RATE AFTER ACCOUNTING FOR POPULATION SIZE EFFECTS (2011) — 73 citations
- Differentially Private Change-Point Detection (2018) — 35 citations
- Efficient scalable schemes for monitoring a large number of data streams (2010)