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Methodology and Computing in Applied Probability最新文献

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Continuous-Time Stochastic Analysis of Rumor Spreading with Multiple Operations 多操作下谣言传播的连续时间随机分析
4区 数学 Q2 Mathematics Pub Date : 2023-10-23 DOI: 10.1007/s11009-023-10058-7
François Castella, Bruno Sericola, Emmanuelle Anceaume, Yves Mocquard
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引用次数: 1
Binomial Approximation to Locally Dependent Collateralized Debt Obligations 局部依赖债务抵押债券的二项逼近
4区 数学 Q2 Mathematics Pub Date : 2023-10-17 DOI: 10.1007/s11009-023-10057-8
Amit N. Kumar, P. Vellaisamy
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引用次数: 1
Simulation Analysis of a Base Station Using Finite Buffer M/G/1 Queueing System with Variant Sleeps 具有可变睡眠的有限缓冲M/G/1基站排队系统仿真分析
4区 数学 Q2 Mathematics Pub Date : 2023-10-02 DOI: 10.1007/s11009-023-10052-z
V. Deepa, M. Haridass
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引用次数: 0
Strategic Behavior and Optimization of an M/M/1 Queuewith N-Policy and Hysteretic Control 具有n策略和滞后控制的M/M/1队列策略行为与优化
4区 数学 Q2 Mathematics Pub Date : 2023-10-02 DOI: 10.1007/s11009-023-10054-x
Lingjiao Zhang, Jinting Wang, Yilin Wang
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引用次数: 0
A New Separation Index and Classification Techniques Based on Shannon Entropy 一种新的基于Shannon熵的分离指标及分类技术
4区 数学 Q2 Mathematics Pub Date : 2023-09-22 DOI: 10.1007/s11009-023-10055-w
Jorge Navarro, Francesco Buono, Jorge M. Arevalillo
Abstract The purpose is to use Shannon entropy measures to develop classification techniques and an index which estimates the separation of the groups in a finite mixture model. These measures can be applied to machine learning techniques such as discriminant analysis, cluster analysis, exploratory data analysis, etc. If we know the number of groups and we have training samples from each group (supervised learning) the index is used to measure the separation of the groups. Here some entropy measures are used to classify new individuals in one of these groups. If we are not sure about the number of groups (unsupervised learning), the index can be used to determine the optimal number of groups from an entropy (information/uncertainty) criterion. It can also be used to determine the best variables in order to separate the groups. In all the cases we assume that we have absolutely continuous random variables and we use the Shannon entropy based on the probability density function. Theoretical, parametric and non-parametric techniques are proposed to get approximations of these entropy measures in practice. An application to gene selection in a colon cancer discrimination study with a lot of variables is provided as well.
摘要目的是利用香农熵测度来发展分类技术和估计有限混合模型中群体分离的指标。这些度量可以应用于机器学习技术,如判别分析、聚类分析、探索性数据分析等。如果我们知道组的数量,并且我们有来自每个组的训练样本(监督学习),则该指标用于度量组的分离。这里使用一些熵度量来对这些组中的新个体进行分类。如果我们不确定组的数量(无监督学习),该指标可用于从熵(信息/不确定性)标准确定最优组的数量。它还可以用于确定最佳变量,以便将组分开。在所有情况下,我们假设我们有绝对连续的随机变量,我们使用基于概率密度函数的香农熵。在实践中,提出了理论、参数和非参数技术来获得这些熵测度的近似。本文还提供了一种在具有大量变量的结肠癌鉴别研究中进行基因选择的应用。
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引用次数: 0
Optimal Investment-Consumption and Life Insurance Strategy with Mispricing and Model Ambiguity 定价错误和模型模糊的最优投资消费与寿险策略
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2023-08-08 DOI: 10.1007/s11009-023-10051-0
Ailing Gu, Xinya He, Shumin Chen, H. Yao
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引用次数: 0
Asymptotics for a Bidimensional Renewal Risk Model with Subexponential Main Claims and Delayed Claims 具有次指数主索赔和延迟索赔的二维续期风险模型的渐近性
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2023-08-02 DOI: 10.1007/s11009-023-10050-1
Shijie Wang, Yueli Yang, Yang Liu, Lianqiang Yang
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引用次数: 0
The Effect of Loss Preference on Queueing with Information Disclosure Policy 损失偏好对信息披露策略排队的影响
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2023-07-20 DOI: 10.1007/s11009-023-10047-w
Jian Cao, Yongjiang Guo, Zhongxin Hu
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引用次数: 0
Modeling and Control of Data Transmission 数据传输建模与控制
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2023-07-14 DOI: 10.1007/s11009-023-10048-9
Tanhao Huang, Jian Siqi, Jinwen Chen, Dai Yanan
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引用次数: 0
A Non-equilibrium Geometric No-arbitrage Principle 非均衡几何无套利原理
IF 0.9 4区 数学 Q2 Mathematics Pub Date : 2023-07-12 DOI: 10.1007/s11009-023-10049-8
Wanxiao Tang, P. Zhao
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引用次数: 0
期刊
Methodology and Computing in Applied Probability
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