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Quantile Regression for Large-scale Applications
Quantile Regression Large-scale Applications
2013/6/14
Quantile regression is a method to estimate the quantiles of the conditional distribution of a response variable, and as such it permits a much more accurate portrayal of the relationship between the ...
Efficiently Using Second Order Information in Large l1 Regularization Problems
Efficiently Using Second Order Information Large l1 Regularization Problems
2013/4/28
We propose a novel general algorithm LHAC that efficiently uses second-order information to train a class of large-scale l1-regularized problems. Our method executes cheap iterations while achieving f...
Algorithmic and Statistical Perspectives on Large-Scale Data Analysis
Algorithmic Statistical Perspectives Large-Scale Data Analysis
2010/10/19
In recent years, ideas from statistics and scientific computing have begun to interact in increasingly sophisticated and fruitful ways with ideas from computer science and the theory of algorithms to...
Laws of large numbers for the occupation time of an age-dependent critical binary branching system
Infinite particle system age-dependent branching occupation times strong laws of large numbers
2009/6/15
Laws of large numbers for the occupation time of an age-dependent critical binary branching system.
Strong Law of Large Numbers Under a General Moment Condition
quasi-stationary sequence strong law of large numbers maximum inequality
2009/4/27
We use our maximum inequality for p-th order random variables (p>1) to prove a strong law of large numbers (SLLN) for sequences of p-th order random variables. In particular, in the case p=2 our resu...