Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
|
Tweet | ||
630 * | Thu, 8/8/2013, 8:30 AM - 10:20 AM | CC-512g | |
Recent Applications of Statistical Discrete Models and Inference in Biology — Topic Contributed Papers | |||
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , WNAR | |||
Organizer(s): Luis E. Carvalho, Boston University | |||
Chair(s): Eric Kolaczyk, Boston University | |||
8:35 AM | Recent Applications of Statistical Discrete Models and Inference in Biology — Charles Lawrence, Brown University ; Luan Lin, Mt. Sinai Med Center ; Bryce Richards, Brown University | ||
8:55 AM | RNA Profiling: A New Approach to 'Denoising' Secondary Structure Prediction — Christine Heitsch, Georgia Institute of Technology | ||
9:15 AM | Modeling Structural RNA Families Using Covariance Models — Eric Nawrocki, Howard Hughes Medical Institute | ||
9:35 AM | An Integrative Bayesian Modeling Approach to Imaging Genetics — Francesco Stingo, UT MD Anderson Cancer Center ; Michele Guindani, The University of Texas MD Anderson Cancer Center ; Marina Vannucci, Rice University ; Vince Calhoun, University of New Mexico | ||
9:55 AM | Bayesian Centroid Inference and Characterization of Posterior Spaces with Applications in Motif-Finding — Luis E. Carvalho, Boston University | ||
10:15 AM | Floor Discussion |
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.