Robert M. Bell

Bell, Robert M.
Bedminster, NJ

Robert Bell received a Ph.D. in Statistics from Stanford University. He has been a member of the Statistics Research Department at AT&T Labs-Research since 1998. He previously worked for 18 years at RAND doing public policy analysis. His current research interests include machine learning methods, analysis of data from complex samples, and record linkage methods. He was a member of an international team that won the Netflix Prize competition. He is a fellow of the American Statistical Association. Dr. Bell is a recognized expert on use of statistical methods in the decennial census, having served on four National Research Council panels advising the U.S. Census Bureau, one as chair, and the Census Advisory Committee of the American Statistical Association. He has served on the Fellows Committee of the American Statistical Association, the board of the National Institute of Statistical Sciences, and the Committee on National Statistics.



Technical Documents

Does Measuring Code Change Improve Fault Prediction?
Robert Bell, Thomas Ostrand, Elaine Weyuker
7th International Conference on Predictive Models in Software Engineering (Promise2011),  2011.  [PDF]  [BIB]

Assessing the Impact of Using Fault-Prediction in Industry
Elaine Weyuker, Thomas Ostrand, Robert Bell
Testing: Academic & Industrial Conference (TAIC 2011),  2011.  [PDF]  [BIB]

IEEE Copyright

Programmer-based Fault Prediction
Thomas Ostrand, Elaine Weyuker, Robert Bell
Proc. PROMISE2010,  6th International Conference on Predictive Models in Software Engineering,  2010.  [PDF]  [BIB]

ACM Copyright


Methods And Apparatus For Modeling Relationships At Multiple Scales In Ratings Estimation, July 24, 2012
Tool For Predicting Fault-Prone Software Files, April 3, 2012
Methods And Apparatus For Improved Neighborhood Based Analysis In Ratings Estimation, August 16, 2011
Science & Technology Medal, 2003. Honored for technical leadership toward fair implementation of the Telecommunications Act.