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» Generalized deviations in risk analysis
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UAI
2001
13 years 9 months ago
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
John D. Lafferty, Larry A. Wasserman
SIAMJO
2002
120views more  SIAMJO 2002»
13 years 7 months ago
Dual Stochastic Dominance and Related Mean-Risk Models
We consider the problem of constructing mean{risk models which are consistent with the second degree stochastic dominance relation. By exploiting duality relations of convex analys...
Wlodzimierz Ogryczak, Andrzej Ruszczynski
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
14 years 8 months ago
SNARE: a link analytic system for graph labeling and risk detection
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...
GLOBECOM
2007
IEEE
14 years 2 months ago
Volume Growth and General Rate Quantization on Grassmann Manifolds
—The Grassmann manifold Gn,p (L) is the set of all p-dimensional planes (through the origin) in the n-dimensional Euclidean space Ln , where L is either R or C. This paper consid...
Wei Dai, Brian Rider, Youjian Liu
MANSCI
2010
106views more  MANSCI 2010»
13 years 6 months ago
Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty
This paper considers a manufacturer-retailer supply chain for a seasonal product whose demand is weather-sensitive. The retailer orders from the manufacturer (supplier) prior to t...
Frank Youhua Chen, Candace Arai Yano