News & Events

Green Office Certification
Life in LA

RSS

News 3 items

Head of the Class
May 15, 2013

USC valedictorian Katherine Fu and salutatorians Alexander Fullman and Julia Sabo Mangione — all in USC Dornsife — will…

The Fabulous Fulbrights
May 10, 2013

Congratulations to the ten USC Dornsife students who were awarded 2013 Fulbright Scholarships. The award will take them to…

Preventing Another Darfur
April 23, 2013

For the 13th consecutive year, professor Steven Lamy, vice dean for academic programs in USC Dornsife, led the Center for…

Online Submission Form

RSS

USC Dornsife News

Wall of Scholars
May 21, 2013

The names of top USC Dornsife students will adorn the wall of Leavey Library in an honor celebrating university-wide students…

Catholic Studies Institute Receives $1 Million
May 21, 2013

The gift creates the Steven and Kathryn Sample Endowment for Ecumenism to support research centered on the foundational…

Scientist and Filmmaker
May 17, 2013

Howard Wayne Harris proves his 9th grade teacher wrong. Earning his Ph.D. at the USC Dornsife hooding ceremony May 16, he was…

You Did It!
May 17, 2013

USC Dornsife issued more than 2,500 degrees during Commencement 2013: 1,959 bachelor’s, 326 master's, 81 graduate…

Amazing Adventures in Undergrad Research
May 15, 2013

USC Dornsife students win top prizes at the 15th Annual Undergraduate Symposium for Scholarly and Creative Work. In…

Event Calendar

Print this page

Optimal and fast detection with the scan and with the average likelihood ratio

CAMS Colloquium

  • Date:
    Monday, February 25, 2013
  • Time:
    3:30 PM to 4:30 PM
  • Campus:
    University Park Campus
  • Venue:
    Kaprelian Hall (KAP)
  • Room:
    414

Description:

Guenther Walther, Stanford University

Abstract: Scan statistics are the standard tool for a range of detection problems, such as the detection of spatial disease clusters. There have been a number of recent claims in the literature, based on empirical findings,that scan statistics are inferior to an approach that involves the average likelihood ratio. The talk will look into this issue and present heuristics as well as mathematical optimality results. If time permits, a connection to efficient algorithms will be discussed.