376 search results - page 5 / 76 » Approximating Probability Distributions Using Small Sample S... |
QUESTA
2007
13 years 7 months ago
2007
Efficient estimation of tail probabilities involving heavy tailed random variables is amongst the most challenging problems in Monte-Carlo simulation. In the last few years, appli...
STOC
1997
ACM
13 years 11 months ago
1997
ACM
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...
APPROX
2005
Springer
14 years 1 months ago
2005
Springer
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
IJCAI
2001
13 years 9 months ago
2001
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
SIAMJO
2008
13 years 7 months ago
2008
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...