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

Source URL: www.gcg.ufjf.br

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

Source URL: www.ism.ac.jp

• Statistics
• Estimation theory
• Statistical theory
• Maximum likelihood estimation
• Efficient estimator
• Efficiency
• Estimator
• Asymptotic theory
• Ole Barndorff-Nielsen
• Likelihood function
• Two-step M-estimators involving MLE
• Generalized method of moments

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

Source URL: www.siplab.fct.ualg.pt

• Estimation theory
• Statistics
• Statistical inference
• Statistical theory
• M-estimators
• Estimator
• Sensor array

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

Source URL: www.kompetenztest.de

• Statistics
• Statistical theory
• Estimation theory
• Bayesian statistics
• M-estimators
• Maximum likelihood estimation
• Xi
• Bayes estimator
• Likelihood function
• Maximum a posteriori estimation

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

Source URL: www.statistik.uni-bonn.de

• Estimation theory
• Statistics
• Statistical theory
• M-estimators
• Statistical inference
• Maximum likelihood estimation
• Estimator

On quadrature methods for refractory point process likelihoods Gonzalo Mena and Liam Paninski Statistics Department and Grossman Center for the Statistics of Mind Columbia University July 2, 2014

Source URL: www.stat.columbia.edu

• Estimation theory
• Numerical integration
• Mathematical analysis
• Statistics
• Statistical theory
• Numerical analysis
• M-estimators
• Maximum likelihood estimation
• Likelihood function
• Integral
• Logarithm
• Quadrature

CAM Centre for Applied Microeconometrics Department of Economics University of Copenhagen http://www.econ.ku.dk/CAM/

Source URL: www.econ.ku.dk

• Estimation theory
• Statistics
• Statistical theory
• M-estimators
• Statistical inference
• Regression analysis
• Maximum likelihood estimation
• Estimator
• Extremum estimator
• Generalized method of moments
• Loss function
• Efficiency

Efficient multipowers∗ Aleksey Kolokolov and Roberto Ren`o Department of Statistics, Lund University Lund 22007, Sweden. Dipartimento di Economia Politica e Statistica, Universit` a di Siena.

Source URL: www.cb.cityu.edu.hk

• Statistics
• Estimation theory
• Statistical theory
• Statistical inference
• Robust statistics
• M-estimators
• Efficiency
• Efficient estimator
• Maximum likelihood estimation
• Consistent estimator
• Estimator
• L-estimator

Estimators for Supervised Learning Ronald DeVore ∗ Abstract

Source URL: math.nyu.edu

• Estimation theory
• Statistics
• Estimator
• Least squares
• M-estimator
• Robust statistics

Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada

Source URL: arxiv.org

• Numerical analysis
• Mathematical analysis
• Mathematics
• Estimation theory
• Numerical linear algebra
• M-estimators
• Stochastic optimization
• Conjugate gradient method
• Nonlinear conjugate gradient method
• Gradient descent
• Gradient method
• Hessian matrix