- Bayesian approach to network modularityJake M Hofman
Department of Physics, Columbia University, New York, New York 10027, USA
Phys Rev Lett 100:258701. 2008..We apply the technique to synthetic and real networks and outline how the method naturally allows selection among competing models...
- Graphical models for inferring single molecule dynamicsJonathan E Bronson
Department of Chemistry, Columbia University, New York, NY 10027, USA
BMC Bioinformatics 11:S2. 2010..A detailed description of smFRET is provided as well...
- Learning rates and states from biophysical time series: a Bayesian approach to model selection and single-molecule FRET dataJonathan E Bronson
Department of Chemistry, Columbia University, New York, New York, USA
Biophys J 97:3196-205. 2009..Source code used in this analysis, including a graphical user interface, is available open source via http://vbFRET.sourceforge.net...
- Predicting consumer behavior with Web searchSharad Goel
Microeconomics and Social Systems, Yahoo Research, 111 West 40th Street, New York, NY 10018, USA
Proc Natl Acad Sci U S A 107:17486-90. 2010..We conclude that in the absence of other data sources, or where small improvements in predictive performance are material, search queries provide a useful guide to the near future...