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» Quantile Sensitivity Estimation
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NIPS
2001
13 years 9 months ago
Risk Sensitive Particle Filters
We propose a new particle filter that incorporates a model of costs when generating particles. The approach is motivated by the observation that the costs of accidentally not trac...
Sebastian Thrun, John Langford, Vandi Verma
TSP
2008
97views more  TSP 2008»
13 years 7 months ago
Risk-Sensitive Particle Filters for Mitigating Sample Impoverishment
Risk-sensitive filters (RSF) put a penalty to higher-order moments of the estimation error compared to conventional filters as the Kalman filter minimizing the mean square error. ...
Umut Orguner, Fredrik Gustafsson
SIAMJO
2010
155views more  SIAMJO 2010»
13 years 2 months ago
Optimal Portfolio Execution Strategies and Sensitivity to Price Impact Parameters
When liquidating a portfolio of large blocks of risky assets, an institutional investor wants to minimize the cost as well as the risk of execution. An optimal execution strategy ...
Somayeh Moazeni, Thomas F. Coleman, Yuying Li
VLSID
2006
IEEE
129views VLSI» more  VLSID 2006»
14 years 8 months ago
A Stimulus-Free Probabilistic Model for Single-Event-Upset Sensitivity
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...
Mohammad Gh. Mohammad, Laila Terkawi, Muna Albasma...
BIB
2007
59views more  BIB 2007»
13 years 8 months ago
Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity
Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarra...
Jason C. Hsu, Jane Chang, Tao Wang, Eiríkur...