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» On the Statistical Consistency of DOP Estimators
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CLIN
2003
13 years 6 months ago
On the Statistical Consistency of DOP Estimators
A statistical estimator attempts to guess an unknown probability distribution by analyzing a sample from this distribution. One desirable property of an estimator is that its gues...
Detlef Prescher, Remko Scha, Khalil Sima'an, Andre...
ACL
2006
13 years 6 months ago
An All-Subtrees Approach to Unsupervised Parsing
We investigate generalizations of the allsubtrees "DOP" approach to unsupervised parsing. Unsupervised DOP models assign all possible binary trees to a set of sentences ...
Rens Bod
JMLR
2012
11 years 7 months ago
Statistical test for consistent estimation of causal effects in linear non-Gaussian models
This document contains supplementary material to the article ‘Statistical test for consistent estimation of causal effects in linear non-Gaussian models’, AISTATS 2012. A tabl...
Doris Entner, Patrik O. Hoyer, Peter Spirtes
JMLR
2012
11 years 7 months ago
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
Michael Gutmann, Aapo Hyvärinen
JMLR
2010
191views more  JMLR 2010»
12 years 11 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen