A class of optimum importance sampling strategies
From MaRDI portal
Publication:1358816
DOI10.1016/0020-0255(94)00116-SzbMath0869.62087MaRDI QIDQ1358816
Behnaam Aazhang, Geoffrey C. Orsak
Publication date: 4 August 1997
Published in: Information Sciences (Search for Journal in Brave)
importance samplingnonlinear cost functionsconstrained optimal distributionestimating probabilities of rare eventsglobal optimal distributionoptimal biasing densitystatistical distance measure
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Minimax tests and the Neyman-Pearson lemma for capacities
- On the p-point uncertainty class (Corresp.)
- Constrained solutions in importance via robust statistics
- Monte Carlo simulation and large deviations theory for uniformly recurrent Markov chains
- On large deviations theory and asymptotically efficient Monte Carlo estimation
- A quick simulation method for excessive backlogs in networks of queues
- Computing bit-error probabilities for avalanche photodiode receivers by large deviations theory
- Efficient importance sampling techniques for simulation of multiuser communication systems
- Robust detection of known signals
- The rate-distortion function on classes of sources determined by spectral capacities
- Robust Statistics
This page was built for publication: A class of optimum importance sampling strategies