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asymptotic normality

66 papers

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confidence interval (146) statistical inference (146) causal inference (1630) statistical estimation (108) parameter estimation (274) maximum likelihood (255) maximum likelihood estimation (233) uncertainty quantification (1393) bayesian inference (1907) statistical learning (351)

Papers

Orthogonal Random Forest for Causal Inference ICML 2019
Distributed Inference for Linear Support Vector Machine JMLR 2019
Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression JMLR 2019
Variational Bayes under Model Misspecification NIPS 2019
Minimum Stein Discrepancy Estimators NIPS 2019
Composite Marginal Likelihood Methods for Random Utility Models ICML 2018
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016
Inference for High-dimensional Exponential Family Graphical Models AISTATS 2016
On the Asymptotic Normality of an Estimate of a Regression Functional JMLR 2015
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NIPS 2015
On Estimating L_2^2 Divergence AISTATS 2015
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality NIPS 2015
Multivariate f-divergence Estimation With Confidence NIPS 2014
The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers JMLR 2008
A Bahadur Representation of the Linear Support Vector Machine JMLR 2008