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» Asymptotic robustness of estimators in rare-event simulation
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EOR
2010
125views more  EOR 2010»
13 years 5 months ago
Efficient estimation of large portfolio loss probabilities in t-copula models
We consider the problem of accurately measuring the credit risk of a portfolio consisting of loans, bonds and other financial assets. One particular performance measure of interes...
Joshua C. C. Chan, Dirk P. Kroese
MA
2011
Springer
285views Communications» more  MA 2011»
13 years 8 days ago
Dual divergence estimators and tests: Robustness results
The class of dual φ-divergence estimators (introduced in Broniatowski and Keziou (2009) [6]) is explored with respect to robustness through the influence function approach. For ...
Aida Toma, Michel Broniatowski
IOR
2006
163views more  IOR 2006»
13 years 5 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
IOR
2008
126views more  IOR 2008»
13 years 5 months ago
Fast Simulation of Multifactor Portfolio Credit Risk
This paper develops rare event simulation methods for the estimation of portfolio credit risk -- the risk of losses to a portfolio resulting from defaults of assets in the portfol...
Paul Glasserman, Wanmo Kang, Perwez Shahabuddin
SMA
2010
ACM
200views Solid Modeling» more  SMA 2010»
13 years 1 days ago
Influence functions of the Spearman and Kendall correlation measures
Abstract Nonparametric correlation estimators as the Kendall and Spearman correlation are widely used in the applied sciences. They are often said to be robust, in the sense of bei...
Christophe Croux, Catherine Dehon