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搜索结果: 1-11 共查到penalization相关记录11条 . 查询时间(0.114 秒)
This work studies the problem of automatically penalizing intentional or unintentional data breach (APDB) by a receiver/custodian receiving confidential data from a sender. We solve this problem by au...
Can Profit-shifting be Resolved by Penalization?     Multinational enterprises  Tax evasion  Transfer prices       font style='font-size:12px;'> 2016/1/27
We examine contemporary practice of transfer pricing rules enforcement in this paper. We have used neoclassical microeconomic framework with transfer price estimated via comparable uncontrolled price ...
In the context of a linear model with a sparse coefficient vector, exponential weights methods have been shown to be achieve oracle inequalities for prediction. We show that such methods also succeed ...
We consider quantile regression processes from censored data under dependent data structures and derive a uniform Bahadur representation for those processes. We also consider cases where the dimension...
In this paper the robust utility maximization problem for a market model based on Levy processes is analyzed. The interplay between the formof the utility function and the penalization function requir...
A problem of estimation of a Hermitian nonnegatively definite matrix ρ of unit trace (for instance, a density matrix of a quantum system) based on n independent measurements Yj = tr(ρXj) + ξj , j = 1...
We propose an `1-penalized estimation procedure for high-dimensional lin- ear mixed-effects models. The models are useful whenever there is a grouping structure among high-dimensional observations, ...
This paper investigates correct variable selection in finite samples via $ell_1$ and $ell_1 + ell_2$ type penalization schemes. The asymptotic consistency of variable selection immediately follows fro...
In this paper, a new family of resampling-based penalization procedures for model selection is defined in a general framework. It generalizes several methods, including Efron's bootstrap penalization ...
In this paper we investigate optimal control problems governed by variational inequalities. We give optimality conditions under classical assumptions using a dual regularized functional to interpret t...
Model selection by resampling penalization      Model selection  resampling penalization        font style='font-size:12px;'> 2010/4/26
Model selection by resampling penalization

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