نتایج جستجو برای: penalty method

تعداد نتایج: 1640484  

2007
Trond Petersen Andrew Penner Geir Høgsnes

The motherhood wage penalty is today probably the largest obstacle to progress in gender equality at work. Using matched employer-employee data from Norway (1980–97), a country with public policies that promote combining family and career, we investigate (a) whether the penalty arises from differential pay by employers or from sorting of employees on occupations and establishments, and (b) chan...

2005
Debasis Kundu Swagata Nandi SWAGATA NANDI

We propose a simple estimation procedure of the number of components of the fundamental frequency model when all the adjacent harmonics are present. The proposed method is based on the penalty function approach like other Information Theoretic Criteria. The new method is shown to be consistent. We compute the probability of wrong estimates of a particular penalty function and propose a resampli...

2005
Hansjörg Albrecher Onno J. Boxma

We present a unified approach to the analysis of several popular models in collective risk theory. Based on the analysis of the discounted penalty function in a semi-Markovian risk model by means of Laplace-Stieltjes transforms, we rederive and extend some recent results in the field. In particular, the classical compound Poisson model, Sparre Andersen models with phase-type interclaim times an...

2015
Chongfeng Lan Huanyong Ji Jing Li

Purpose: The purpose of this paper is to extend the analysis of the distribution-free newsvendor problem under the circumstance of customer balking, which usually occurs when customers are reluctant to buy products if the available inventory falls below a threshold level. Design/methodology/approach: A new tradeoff tool is provided as a replacement of the traditional one to weigh the holding co...

Journal: :Communications in Statistics - Simulation and Computation 2009
Minh Ngoc Tran

We consider the problem of choosing the ridge parameter. Two penalized maximum likelihood (PML) criteria based on a distribution-free and a datadependent penalty function are proposed. These PML criteria can be considered as “continuous” versions of AIC. A systematic simulation is conducted to compare the suggested criteria to several existing methods. The simulation results strongly support th...

Journal: :SIAM J. Financial Math. 2011
Takuji Arai

We shall provide in this paper good deal pricing bounds for contingent claims induced by the shortfall risk with some loss function. Assumptions we impose on loss functions and contingent claims are very mild. We prove that the upper and lower bounds of good deal pricing bounds are expressed by convex risk measures on Orlicz hearts. In addition, we obtain its representation with the minimal pen...

2004
Xiaobing Zhao Young-Jun Son

Varying degrees of autonomy of subordinate agents and their effects to the global performance have not been studied. In this paper, a new hybrid control architecture is proposed with the capability of dynamic update of autonomy of agents. The key feature is the penalty function, which indicates the degree of negative impact of changing the original schedule on the global performance. The penalt...

Journal: :J. Applied Mathematics 2011
Dinh Bui Van Le Dung Muu

We consider bilevel pseudomonotone equilibrium problems. We use a penalty function to convert a bilevel problem into one-level ones. We generalize a pseudo-∇-monotonicity concept from ∇monotonicity and prove that under pseudo-∇-monotonicity property any stationary point of a regularized gap function is a solution of the penalized equilibrium problem. As an application, we discuss a special case...

Journal: :CoRR 2018
Yin Sun Elif Uysal-Biyikoglu Sastry Kompella

In this paper, we study an age of information minimization problem, where multiple flows of update packets are sent over multiple servers to their destinations. Two online scheduling policies are proposed. When the packet generation and arrival times are synchronized across the flows, the proposed policies are shown to be (near) optimal for minimizing any timedependent, symmetric, and non-decre...

2007
Lucia Alessi Matteo Barigozzi Marco Capasso

We propose a refinement of the criterion by Bai and Ng [2002] for determining the number of static factors in factor models with large datasets. It consists in multiplying the penalty function times a constant which tunes the penalizing power of the function itself as in the Hallin and Liška [2007] criterion for the number of dynamic factors. By iteratively evaluating the criterion for differen...

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