Efficient scalable schemes for monitoring a large number of data streams

By Yajun Mei. 2010

166 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. William H. Woodall
2. Douglas C. Montgomery
3. Hock Peng Chan
4. Yajun Mei
5. Wanrong Zhang
6. Sara Krehbiel
7. Rui Tuo
8. Rachel Cummings

In Statistics and Probability

1. Douglas C. Montgomery
2. William H. Woodall
3. Hock Peng Chan
4. Yajun Mei
5. Rachel Cummings
6. Sara Krehbiel
7. Wanrong Zhang
8. Rui Tuo

Citations in the corpus

• Differentially Private Change-Point Detection (2018, background): “Change-point detection is a canonical problem in statistics that has been studied for nearly a century; selected results include [She31, Pag54, Shi63, Rob66, Lor71, Pol85, Pol87, Mou86, Lai95, Lai01, Kul01, Mei06, Mei08, Mei10, Cha17].”
• Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014, background): “For some approaches to this problem, see Mei (2010), Ross et al. (2011), Zou and Qiu (2009), Zou et al. (2011), Zou et al. (2012), and Wang and Jiang (2009).”
• Optimal sequential detection in multi-stream data (2015, methodology): “Rather than summing the CUSUM scores as in Mei [12], we suggest instead to sum the detectability score transformations of the CUSUM scores.”