<--- Back to Details
First PageDocument Content
Estimation theory / Econometrics / Statistical inference / Estimator / Probability distribution fitting / M-estimators / Maximum likelihood estimation / Fisher information / Gamma distribution / Maximum spacing estimation
Date: 2018-07-14 18:55:46
Estimation theory
Econometrics
Statistical inference
Estimator
Probability distribution fitting
M-estimators
Maximum likelihood estimation
Fisher information
Gamma distribution
Maximum spacing estimation

Noise-contrastive estimation: A new estimation principle for unnormalized statistical models Michael Gutmann Dept of Computer Science and HIIT, University of Helsinki

Add to Reading List

Source URL: proceedings.mlr.press

Download Document from Source Website

File Size: 618,78 KB

Share Document on Facebook

Similar Documents

A Tensor Motion Descriptor Based on Multiple Gradient Estimators Dhiego Sad∗ , Virg´ınia F. Mota † , Luiz M. Maciel∗ , Marcelo B. Vieira ∗ , Arnaldo de A. Ara´ujo† ∗ Universidade Federal de Juiz de Fora IC

A Tensor Motion Descriptor Based on Multiple Gradient Estimators Dhiego Sad∗ , Virg´ınia F. Mota † , Luiz M. Maciel∗ , Marcelo B. Vieira ∗ , Arnaldo de A. Ara´ujo† ∗ Universidade Federal de Juiz de Fora IC

DocID: 1ruWs - View Document

Ann Inst Stat Math:469–490 DOIs10463Second-order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions

Ann Inst Stat Math:469–490 DOIs10463Second-order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions

DocID: 1reUL - View Document

Comparing the resolution of Bartlett and MVDR estimators for bottom parameter estimation using pressure and vector sensor short array data

Comparing the resolution of Bartlett and MVDR estimators for bottom parameter estimation using pressure and vector sensor short array data

DocID: 1r4kj - View Document

Maximum Likelihood and Bayes Modal Ability Estimation in Two-Parametric IRT Models: Derivations and Implementation Norman Rose Institute of Psychology Friedrich Schiller University Jena

Maximum Likelihood and Bayes Modal Ability Estimation in Two-Parametric IRT Models: Derivations and Implementation Norman Rose Institute of Psychology Friedrich Schiller University Jena

DocID: 1r18B - View Document

Estimating Nonlinear Additive Models with Nonstationarities and Correlated Errors1 Michael Vogt2,∗  Christopher Walsh3

Estimating Nonlinear Additive Models with Nonstationarities and Correlated Errors1 Michael Vogt2,∗ Christopher Walsh3

DocID: 1qWUN - View Document