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» Optimizing efficiency of perturbative Monte Carlo method
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UAI
2001
14 years 11 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
79
Voted
SIAMJO
2002
124views more  SIAMJO 2002»
14 years 9 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
WSC
1998
14 years 11 months ago
Efficiency Improvement by Lattice Rules for Pricing Asian Options
This paper compares Monte Carlo methods, lattice rules, and other low-discrepancy point sets on the problem of evaluating asian options. The combination of these methods with vari...
Christiane Lemieux, Pierre L'Ecuyer
77
Voted
ISBI
2004
IEEE
15 years 10 months ago
Reconstruction of 2D Pet Data with Monte Carlo Generated Natural Pixels
Abstract-In discrete detector PET, natural pixels are image basis functions calculated from responses of detector pairs. By using reconstruction with natural pixels the discretizat...
Charles L. Byrne, Stefaan Vandenberghe, Edward J. ...
69
Voted
ISCAS
2006
IEEE
93views Hardware» more  ISCAS 2006»
15 years 3 months ago
A one-shot projection method for interconnects with process variations
—With the development of IC technology, it becomes urgent to investigate model reduction method for interconnects with process variations. In this paper, a one-shot projection al...
Jun Tao, Xuan Zeng, Fan Yang, Yangfeng Su, Lihong ...