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A Strong Law of Large Numbers for Super-stable Processes
Super-stable process Super-Brownian motion Strong law of large Preprint submitted to Annals of Probability
2016/1/25
A Strong Law of Large Numbers for Super-stable Processes.
A Unified Near-Optimal Estimator For Dimension Reduction in lα (0 < α ≤ 2) Using Stable Random Projections
Near-Optimal Estimator Dimension Reduction Stable Random Projections
2015/8/21
Many tasks (e.g., clustering) in machine learning only require the lα distances instead of the original data. For dimension reductions in the lα norm (0 < α ≤ 2), the method of stable random projectio...
In this paper we review recent advances in Stable Isotope Mixing Models (SIMMs) and place them into an over-arching Bayesian statistical framework which allows for several useful extensions. SIMMs are...
Stable marriage problem under Monte Carlo simulations, influence of preferrence corelation on relaxation time
Stable marriage problem Monte Carlo simulations influence of preferrence corelation relaxation time
2011/7/5
In this paper we consider stable marriage problem under the Monte Carlo
simulations. We investigate how correlation in lists of preferrences can affect
simulation results such as: relaxation time, t...