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JSCIC
2008
71views more  JSCIC 2008»
13 years 9 months ago
Numerical and Statistical Methods for the Coarse-Graining of Many-Particle Stochastic Systems
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice systems. We emphasize the numerical analysis of the schemes, focusing on error ...
Markos A. Katsoulakis, Petr Plechác, Luc Re...
JMLR
2006
113views more  JMLR 2006»
13 years 9 months ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...
PAMI
2006
114views more  PAMI 2006»
13 years 9 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
SIAMCO
2008
112views more  SIAMCO 2008»
13 years 9 months ago
A Knowledge-Gradient Policy for Sequential Information Collection
In a sequential Bayesian ranking and selection problem with independent normal populations and common known variance, we study a previously introduced measurement policy which we ...
Peter Frazier, Warren B. Powell, Savas Dayanik
IJBRA
2007
89views more  IJBRA 2007»
13 years 9 months ago
Conservative adjustment of permutation p-values when the number of permutations is limited
The permutation procedure is widely used to assess the significance level (p-value) of a test statistic. This approach is asymptotically consistent. In genomics and proteomics st...
Yinglei Lai