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Found 4 papers, 1 papers with code
Concentration Inequalities for Statistical Inference
This paper gives a review of concentration inequalities which are widely employed in non-asymptotical analyses of mathematical statistics in a wide range of settings, from distribution-free to distribution-dependent, from sub-Gaussian to sub-exponential, sub-Gamma, and sub-Weibull random variables, and from the mean to the maximum concentration.
Partitioning Structure Learning for Segmented Linear Regression Trees
A suffi- ciently large tree is induced by applying the split selection algorithm recursively.
Matrix Completion under Low-Rank Missing Mechanism
Although missing structure is a key component to any missing data problems, existing matrix completion methods often assume a simple uniform missing mechanism.
Cautionary Tales on Air-Quality Improvement in Beijing
While this statistic offered some relief for the inhabitants of the capital, we present several analyses based on Beijing's PM2. 5 data of the past 4 years at 36 monitoring sites along with meteorological data of the past 7 years.
