Chandrasekaran, Venkat and Parrilo, Pablo A. and Willsky, Alan S. (2012) Rejoinder: Latent variable graphical model selection via convex optimization. Annals of Statistics, 40 (4). pp. 2005-2013. ISSN 0090-5364. http://resolver.caltech.edu/CaltechAUTHORS:20130205-141004858
- Published Version
See Usage Policy.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20130205-141004858
We thank all the discussants for their careful reading of our paper, and for their insightful critiques. We would also like to thank the editors for organizing this discussion. Our paper contributes to the area of high-dimensional statistics which has received much attention over the past several years across the statistics, machine learning and signal processing communities. In this rejoinder we clarify and comment on some of the points raised in the discussions. Finally, we also remark on some interesting challenges that lie ahead in latent variable modeling.
|Additional Information:||© 2012 Institute of Mathematical Statistics. Received May 2012.|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||05 Feb 2013 22:57|
|Last Modified:||05 Feb 2013 22:57|
Repository Staff Only: item control page