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Exponential stability of impulsive jump linear systems with Markov process 被引量:3
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作者 Gao Liju Wu Yuqiang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2007年第2期304-310,共7页
The exponential stability is investigated for a class of continuous time linear systems with a finite state Markov chain form process and the impulsive jump at switching moments. The conditions, based on the average d... The exponential stability is investigated for a class of continuous time linear systems with a finite state Markov chain form process and the impulsive jump at switching moments. The conditions, based on the average dwell time and the ratio of expectation of the total time running on all unstable subsystems to the expectation of the total time running on all stable subsystems,assure the exponential stability with a desired stability degree of the system irrespective of the impact of impulsive jump. The uniformly bounded result is realized for the case in which switched system is subjected to the impulsive effect of the excitation signal at some switching moments. 展开更多
关键词 Jump systems exponential stability Average dwell time Markov process.
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Exponential martingale for compound Poisson process with latent variable and its applications
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作者 YAN Jun 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2015年第2期210-216,共7页
In this article, we construct an exponential martingale for the compound Poisson process with latent variable. With the help of this exponential martingale, we provide an asymptotic behavior of the coherent entropic r... In this article, we construct an exponential martingale for the compound Poisson process with latent variable. With the help of this exponential martingale, we provide an asymptotic behavior of the coherent entropic risk measure for the compound Poisson process and a deviation inequality for the ruin probability of the partly shifted risk process. 展开更多
关键词 exponential martingale partly shifted risk process ruin probability risk measure
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Exponential Convergence of Fisher Entropy for Diffusion Processes
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作者 LIU Wei 《Wuhan University Journal of Natural Sciences》 CAS 2011年第2期130-132,共3页
In this paper, we introduce the definition of Γ-Fisher entropy. For the stochastic differential equation in Rd and the unique invariant probability measure μ, we obtain the exponential convergence of Γ-Fisher entro... In this paper, we introduce the definition of Γ-Fisher entropy. For the stochastic differential equation in Rd and the unique invariant probability measure μ, we obtain the exponential convergence of Γ-Fisher entropy with respect to μ under some condition about Γ and the drift b. Moreover, we revisit the exponential convergence of the usual Fisher entropy under the Bakry Emery condition. 展开更多
关键词 Fisher entropy diffusion processes exponential convergence
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Exact Run Length Evaluation on a Two-Sided Modified ExponentiallyWeighted Moving Average Chart for Monitoring 被引量:1
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作者 Piyatida Phanthuna Yupaporn Areepong Saowanit Sukparungsee 《Computer Modeling in Engineering & Sciences》 SCIE EI 2021年第4期23-41,共19页
A modified exponentially weighted moving average (EWMA) scheme is one of the quality control charts suchthat this control chart can quickly detect a small shift. The average run length (ARL) is frequently used for the... A modified exponentially weighted moving average (EWMA) scheme is one of the quality control charts suchthat this control chart can quickly detect a small shift. The average run length (ARL) is frequently used for theperformance evaluation on control charts. This paper proposes the explicit formula for evaluating the average runlength on a two-sided modified exponentially weighted moving average chart under the observations of a first-orderautoregressive process, referred to as AR(1) process, with an exponential white noise. The performance comparisonof the explicit formula and the numerical integral technique is carried out using the absolute relative change forchecking the correct formula and the CPU time for testing speed of calculation. The results show that the ARL ofthe explicit formula and the numerical integral equation method are hardly different, but this explicit formula ismuch faster for calculating the ARL and offered accurate values. Furthermore, the cumulative sum, the classicalEWMA and the modified EWMA control charts are compared and the results show that the latter is better for smalland intermediate shift sizes. In addition, the explicit formula is successfully applied to real-world data in the healthfield as COVID-19 data in Thailand and Singapore. 展开更多
关键词 Explicit formula average run length modified EWMA chart AR(1)process exponential white noise
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Self-Normalized Exponential Inequalities for Martingales
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作者 Shen WANG 《Journal of Mathematical Research with Applications》 CSCD 2019年第3期304-314,共11页
We give an extension of Delyon's inequality for locally square integrable martingales.The result is very useful for establishing self-normalized exponential inequality for martingales.An application to linear regr... We give an extension of Delyon's inequality for locally square integrable martingales.The result is very useful for establishing self-normalized exponential inequality for martingales.An application to linear regressions is discussed. 展开更多
关键词 exponential INEQUALITIES SELF-NORMALIZED processES MARTINGALES
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Monoexponential Microsecond Decay of Blue Photoluminescence in Aged Porous Silicon Prepared with Ar^(+) 488nm
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作者 LI Peng MA Yu-rong +1 位作者 WANG Guan-zhong FANG Rong-chuan 《Chinese Physics Letters》 SCIE CAS CSCD 1998年第5期382-384,共3页
Blue photoluminescence is observed in aged porous silicon samples anodized under Ar^(+)488 nm laser illumination.No samples have been undergone any heating treatment process.Both nanosecond and microsecond decay of bl... Blue photoluminescence is observed in aged porous silicon samples anodized under Ar^(+)488 nm laser illumination.No samples have been undergone any heating treatment process.Both nanosecond and microsecond decay of blue photoluminescence have been measured.Samples show a good monoexponential microsecond decay with lifetimes of about 5.3μs.Photoluminescence excitation spectra of blue and red Photoluminescence indicate there is a large Stokes shift(about 800-900meV)in the excitation spectra of red photoluminescence while no this marked Stokes shift in that of blue photoluminescence.The possible origin of the photoluminescence is discussed based on the experimental results. 展开更多
关键词 process. exponential PHOTOLUMINESCENCE
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Hyper-exponential jump-diffusion model under the barrier dividend strategy 被引量:1
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作者 DONG Ying-hui CHEN Yao ZHU Hai-fei 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2015年第1期17-26,共10页
In this paper, we consider a hyper-exponential jump-diffusion model with a constant dividend barrier. Explicit solutions for the Laplace transform of the ruin time, and the Gerber- Shiu function are obtained via marti... In this paper, we consider a hyper-exponential jump-diffusion model with a constant dividend barrier. Explicit solutions for the Laplace transform of the ruin time, and the Gerber- Shiu function are obtained via martingale stopping. 展开更多
关键词 reflected jump-diffusion process barrier strategy ruin time Gerber-Shiu function hyper-exponential distribution.
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基于Tweedie指数扩散过程的恒定应力加速退化试验优化设计
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作者 鄢伟安 徐晓凡 +2 位作者 刘卫东 曹文琴 李春芝 《计算机集成制造系统》 北大核心 2025年第10期3846-3859,共14页
加速退化试验是解决高可靠性长寿命产品可靠性评估等问题的重要试验技术,为提高试验的效费比,加速退化试验的优化设计成为了研究热点。目前的优化设计研究,往往是针对某个特殊的退化过程模型,通过数值计算得出优化方案。针对适用范围较... 加速退化试验是解决高可靠性长寿命产品可靠性评估等问题的重要试验技术,为提高试验的效费比,加速退化试验的优化设计成为了研究热点。目前的优化设计研究,往往是针对某个特殊的退化过程模型,通过数值计算得出优化方案。针对适用范围较广的Tweedie指数扩散过程,开展恒定应力加速退化试验优化设计研究,分别基于D-优化准则和V-优化准则,通过理论证明得出,在漂移参数与(转换)应力水平为指数函数关系的Tweedie指数扩散过程模型下,多应力水平恒定应力加速退化试验最优试验方案为:仅使用最小应力水平和最大应力水平的两应力简单恒定应力加速退化试验。进一步,给出了最小应力和最大应力水平下的样本分配方案,这些结果为加速退化试验的开展提供了有力参考。最后,通过数值模拟和实例分析对所提模型及最优试验方案进行了分析,验证了所提模型及优化设计方案的有效性。 展开更多
关键词 可靠性 恒定应力加速退化试验 Tweedie指数扩散过程 优化设计
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基于梯度直方图变换的低照度图像边缘细节增强处理系统
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作者 王铭勋 张晓辉 +1 位作者 于心俊 申慧男 《现代电子技术》 北大核心 2025年第5期75-78,共4页
低照度图像的清晰度低且边缘细节信息处理难度大,导致图像视觉质量低。针对这一问题,文中设计一种基于梯度直方图变换的低照度图像边缘细节增强处理系统。首先,利用指数派生函数,校正低照度图像的亮度通道,并调节低照度图像亮度;然后,... 低照度图像的清晰度低且边缘细节信息处理难度大,导致图像视觉质量低。针对这一问题,文中设计一种基于梯度直方图变换的低照度图像边缘细节增强处理系统。首先,利用指数派生函数,校正低照度图像的亮度通道,并调节低照度图像亮度;然后,将高斯函数作为梯度直方图变换的规定化函数,提取已校正亮度通道图像的边缘和纹理信息,进行梯度直方图变换;最后,选取Retinex算法和高斯卷积函数,根据低照度图像的梯度直方图变换结果估计图像的入射光线,实现低照度图像的边缘细节增强处理。系统测试结果表明,该系统能够显著增强低照度图像的边缘细节,提升图像的视觉质量,增强处理后图像的信息熵均高于6。 展开更多
关键词 梯度直方图 低照度图像 边缘细节 增强处理 指数派生函数 RETINEX算法
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可配称跳过程指数衰减的判别条件
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作者 张龙腾 陈庆华 《应用概率统计》 北大核心 2025年第3期404-413,共10页
本文给出了可配称跳过程指数衰减的两个判别条件,它们类似于马氏过程指数遍历的Meyn-Tweedie漂移条件.这两个判别条件的构造分别基于Dirichlet特征值的漂移条件和h变换算子理论.
关键词 马氏过程 漂移条件 指数衰减 可配称跳过程
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基于SE-GPR模型的地下水位时序特征解析与预测
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作者 刘德利 张雨 +1 位作者 张亚双 赵嵩颖 《吉林水利》 2025年第7期36-42,共7页
针对地下水位预测中非线性特征与不确定性量化难题,提出基于平方指数核高斯过程回归(SE-GPR)的预测模型。以吉林省辽源市为研究区,通过构建多变量时间序列分析框架,整合2022~2023年实测数据,实现地下水位动态演变的概率建模。实验结果表... 针对地下水位预测中非线性特征与不确定性量化难题,提出基于平方指数核高斯过程回归(SE-GPR)的预测模型。以吉林省辽源市为研究区,通过构建多变量时间序列分析框架,整合2022~2023年实测数据,实现地下水位动态演变的概率建模。实验结果表明,SE-GPR模型在5折交叉验证中表现最优,RMSE为0.1458,R2达0.91,较传统方法(如SVM、决策树)误差降低9.5%,且能有效捕捉水位突变特征。研究揭示了区域地下水水位季节性波动规律,验证了SE-GPR在非线性水文系统中的预测优势,为北方半干旱区水资源管理提供了可靠的技术支撑。 展开更多
关键词 地下水位预测 高斯过程回归 平方指数核 不确定性量化
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Nucleic acid aptamers in orthopedic diseases:promising therapeutic agents for bone disorders
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作者 Zhenhong He Qingping Peng +6 位作者 Wenying Bin Luyao Zhao Yihuang Chen Yuanqun Zhang Weihu Yang Xingchen Yan Huan Liu 《Bone Research》 2025年第4期826-854,共29页
Precision medicine has become a cornerstone in modern therapeutic strategies, with nucleic acid aptamers emerging aspivotal tools due to their unique properties. These oligonucleotide fragments, selected through the S... Precision medicine has become a cornerstone in modern therapeutic strategies, with nucleic acid aptamers emerging aspivotal tools due to their unique properties. These oligonucleotide fragments, selected through the Systematic Evolution ofLigands by Exponential Enrichment process, exhibit high affinity and specificity toward their targets, such as DNA, RNA,proteins, and other biomolecules. Nucleic acid aptamers offer significant advantages over traditional therapeutic agents,including superior biological stability, minimal immunogenicity, and the capacity for universal chemical modifications thatenhance their in vivo performance and targeting precision. In the realm of osseous tissue repair and regeneration, a complexphysiological process essential for maintaining skeletal integrity, aptamers have shown remarkable potential in influencingmolecular pathways crucial for bone regeneration, promoting osteogenic differentiation and supporting osteoblast survival. Byengineering aptamers to regulate inflammatory responses and facilitate the proliferation and differentiation of fibroblasts,these oligonucleotides can be integrated into advanced drug delivery systems, significantly improving bone repair efficacywhile minimizing adverse effects. Aptamer-mediated strategies, including the use of siRNA and miRNA mimics or inhibitors,have shown efficacy in enhancing bone mass and microstructure. These approaches hold transformative potential for treatinga range of orthopedic conditions like osteoporosis, osteosarcoma, and osteoarthritis. This review synthesizes the molecularmechanisms and biological roles of aptamers in orthopedic diseases, emphasizing their potential to drive innovative andeffective therapeutic interventions. 展开更多
关键词 nucleic acid aptamers oligonucleotide fragments biological stab systematic evolution ofligands precision medicine traditional therapeutic agentsincluding modern therapeutic strategies exponential enrichment process
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基于EMD-ICHOA-BiGRU的工序质量微小偏移动态监测方法
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作者 周康渠 柏晗曦 《计算机集成制造系统》 北大核心 2025年第9期3219-3227,共9页
针对自动化工序质量微小偏移动态监测问题,提出基于EMD-ICHOA-BiGRU的工序质量动态监测方法。构建EMD-ICHOA-BiGRU模型进行质量特性预测,利用经验模态分解(EMD)算法分解原始数据,得到不同尺度的本征模函数分量(IMF),将IMF输入双向门控... 针对自动化工序质量微小偏移动态监测问题,提出基于EMD-ICHOA-BiGRU的工序质量动态监测方法。构建EMD-ICHOA-BiGRU模型进行质量特性预测,利用经验模态分解(EMD)算法分解原始数据,得到不同尺度的本征模函数分量(IMF),将IMF输入双向门控循环单元(BiGRU)进行预测,采用改进的黑猩猩优化算法(ICHOA)优化其超参数,将预测分量叠加得到质量特性预测值;结合原始数据和预测值构建EWMA控制图,通过移动窗口不断更新,实现工序质量微小偏移动态监测。利用旋变盖板螺栓自动拧紧工序质量数据集进行实例验证,结果表明,EMD-ICHOA-BiGRU模型的预测精度显著优于其他模型,基于EMD-ICHOA-BiGRU的EWMA控制图能够监测工序质量微小偏移,为自动化工序质量动态监测提供一种有效方法。 展开更多
关键词 工序质量 微小偏移 质量预测 指数加权移动平均控制图 动态监测
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用地空间信息感知技术在电力系统负荷预测中的应用
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作者 陈致远 杨翾 李凌 《沈阳工业大学学报》 北大核心 2025年第3期273-280,共8页
【目的】针对传统负荷预测方法信息利用效率低、误差较大及难以适应电力负荷变化的多样性和随机性等问题,提出了一种基于用地空间信息感知的电力系统负荷预测方法。该方法旨在提高负荷预测的准确性和可靠性,为电力系统的规划和建设提供... 【目的】针对传统负荷预测方法信息利用效率低、误差较大及难以适应电力负荷变化的多样性和随机性等问题,提出了一种基于用地空间信息感知的电力系统负荷预测方法。该方法旨在提高负荷预测的准确性和可靠性,为电力系统的规划和建设提供关键数据支撑,满足经济社会发展的需求。【方法】算法结合城市用地空间信息和电网负荷数据,采用分区分类处理策略:对已开发区,利用历史负荷数据进行曲线拟合预测;对新开发区,以已开发区的同类用地性质负荷平均密度值进行等效处理,形成基础预测信息后,再开展负荷预测。对历史负荷数据和等效负荷数据进行精细化和颗粒化处理,整合指数模型、生长曲线模型和弹性系数模型,通过动态权重组合形成最优拟合方案,构建基于用地空间信息感知的电力系统负荷预测技术。以2014—2020年历史数据为基准进行参数拟合,统计工业用电、居民生活用电、商业用电、公共设施用电和其他用电类型的负荷数据,并以2021年负荷情况为目标进行预测。实验对比分析了指数模型、生长曲线模型和弹性系数模型在总量预测与分区分类预测方面的差异,结果显示分区分类预测准确度较总量预测提高约33%。在此基础上,对比分析了基于动态权重和均值权值的最优拟合效果,计算结果显示基于动态权重的最优拟合预测误差为1.12%,较均值权重误差值降低约12%,显著提升了预测精度和可靠性。【结果】研究表明,采用分区分类方法将空间信息按用地性质和负荷类型进行归类,可有效提升负荷预测模型的准确性。通过动态调整参数权重,整合单一预测模型,算法具有更好的动态适应性,能够实现最优拟合结果,得到更高的预测精度。【结论】本文创新点为:一是采用分区分类数据处理方式,提升城市电网空间信息和负荷信息的利用率;二是引入动态权值整合传统负荷预测模型,克服单一模型的局限性。通过这两种创新手段,显著提高了城市电网负荷预测的准确性和可靠性。 展开更多
关键词 空间信息 负荷预测 分类处理 指数模型 生长曲线 弹性系数 分区分类 最优拟合
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炼化企业工艺安全管理指标数据预测方法
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作者 刘洋 《中国安全科学学报》 北大核心 2025年第8期54-60,共7页
为提升炼化企业过程安全管理水平,增强对关键安全指标的动态监控与趋势预警能力,提出一种融合多预测模型的工艺报警数据预测方法。该方法结合差分移动平均自回归(ARIMA)、二次指数平滑以及基于粒子群优化(PSO)的支持向量回归(SVR)3种时... 为提升炼化企业过程安全管理水平,增强对关键安全指标的动态监控与趋势预警能力,提出一种融合多预测模型的工艺报警数据预测方法。该方法结合差分移动平均自回归(ARIMA)、二次指数平滑以及基于粒子群优化(PSO)的支持向量回归(SVR)3种时间序列预测模型,针对不同指标的趋势性、自相关性与非线性特征,实现对多样化安全指标的有效建模与预测。首先,处理原始指标数据的异常值;分别构建3类预测模型并计算预测结果;然后,通过比较各模型误差自动选取最优模型用于指标趋势预测;最后,实证分析某炼化企业一年内的时平均报警数指标。结果表明:该方法能够动态适配不同数据特征,所选模型预测误差稳定低于0.1,明显优于现有报警数量级精度要求。该方法可有效提升炼化企业过程安全指标预测的准确性与灵活性,及时识别潜在风险指标。 展开更多
关键词 炼化企业 工艺安全 安全管理 指标数据 时间序列 支持向量回归(SVR) 指数平滑法
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指数拟合在冲击波压力数据处理中的应用
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作者 许地鑫 黄鑫 +3 位作者 娄宇航 王强 叶霖 文俊 《工程与试验》 2025年第4期47-50,共4页
本文对比了各种爆炸冲击波压力数据处理方法,着重研究了指数拟合方法在爆炸冲击波压力数据处理中的应用,并提出了一种全正相段冲击波压力曲线指数拟合方法。该方法便捷有效,可供广大测试工作者参考使用。
关键词 冲击波 压力测试 数据处理 干扰信号 指数拟合
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指数加权慢特征分析的动态故障检测算法
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作者 张晨 孔祥玉 程金勇 《火箭军工程大学学报》 2025年第3期99-106,共8页
针对典型动态过程监视中传统多元统计过程监测(multivariate statistical process monitoring, MSPM)方法难以有效提取动态特征的问题,提出一种基于指数加权慢特征分析(exponential weighted slow feature analysis, EWSFA)的动态检测... 针对典型动态过程监视中传统多元统计过程监测(multivariate statistical process monitoring, MSPM)方法难以有效提取动态特征的问题,提出一种基于指数加权慢特征分析(exponential weighted slow feature analysis, EWSFA)的动态检测算法。首先,该算法通过对测试数据执行2次奇异值分解,提取慢特征矩阵;其次,借助慢特征的定义优化参数,确定主要慢特征数量;然后,构造监测统计量,通过指数加权移动平均修正统计量;最后,根据置信度计算控制限,制定动态故障检测策略。基于田纳西-伊士曼过程(Tennessee Eastman process, TEP)和电动伺服机构进行算法性能验证。在TEP实验中,所提EWSFA算法的故障检测率分别比DPCA和SFA方法提升24.19%和1.65%;在电动伺服机构实验中,所提EWSFA算法的故障检测率分别比DPCA和SFA方法提升1.66%和1.09%。实验结果验证了所提方法在故障检测中的优越性。 展开更多
关键词 多元统计过程监测 慢特征分析 指数加权 动态故障检测 特征提取
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Exponential growth BSDE driven by a marked point process
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作者 Zihao Gu Yiqing Lin Kun Xu 《Probability, Uncertainty and Quantitative Risk》 2024年第4期453-498,共46页
In this study,we investigate the well-posedness of exponential growth backward stochastic differcntial cquations(BSDEs)drivcn by a markcd point process(MPP)under unbounded terminal conditions.Our analysis utilizes a f... In this study,we investigate the well-posedness of exponential growth backward stochastic differcntial cquations(BSDEs)drivcn by a markcd point process(MPP)under unbounded terminal conditions.Our analysis utilizes a fixed-point argument,the O-method,and an approximation procedurc.Additionally,wc cstablish the solvability of mean-reflected exponential growth BSDEs driven by the MPP using the-method. 展开更多
关键词 exponential growth BSDEs Marked point processes Mean-reflected BSDEs
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Convergence of Invariant Measures of Truncation Approximations to Markov Processes 被引量:2
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作者 Andrew G. Hart Richard L. Tweedie 《Applied Mathematics》 2012年第12期2205-2215,共11页
Let Q be the Q-matrix of an irreducible, positive recurrent Markov process on a countable state space. We show that, under a number of conditions, the stationary distributions of the n × n north-west corner augme... Let Q be the Q-matrix of an irreducible, positive recurrent Markov process on a countable state space. We show that, under a number of conditions, the stationary distributions of the n × n north-west corner augmentations of Q converge in total variation to the stationary distribution of the process. Two conditions guaranteeing such convergence include exponential ergodicity and stochastic monotonicity of the process. The same also holds for processes dominated by a stochastically monotone Markov process. In addition, we shall show that finite perturbations of stochastically monotone processes may be viewed as being dominated by a stochastically monotone process, thus extending the scope of these results to a larger class of processes. Consequently, the augmentation method provides an attractive, intuitive method for approximating the stationary distributions of a large class of Markov processes on countably infinite state spaces from a finite amount of known information. 展开更多
关键词 Invariant Measure TRUNCATION Approximation Augmentation exponential ERGODICITY Stochastic MONOTONICITY MARKOV process
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Poisson Process and Its Application to the Storm Water Overflows 被引量:1
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作者 Malick Baldeh Chris Samba +1 位作者 Kenneth Tuffour Assane Boya 《Computational Water, Energy, and Environmental Engineering》 2016年第2期47-53,共7页
The homogenous Poisson process is often used to describe the event arrivals. Such Poisson process has been applied in various areas. This study focuses on the arrival pattern of storm water overflows. A set of overflo... The homogenous Poisson process is often used to describe the event arrivals. Such Poisson process has been applied in various areas. This study focuses on the arrival pattern of storm water overflows. A set of overflow data was obtained from the storm water pipeline of a municipality. The aim is to verify the overflow arrival pattern and check whether the Poisson process can be applied. The adopted method is the analysis over the inter-arrival times. The exponential distribution test is conducted on the annual data set as well as the entire data set. The results show that all data sets follow the exponential distribution. With the verification of Poisson process, specific examples are also given to show how the Poisson process properties can be used in the management of storm water pipeline management. For other data that are featured with various heterogeneities, the homogenous Poisson process might not be able to be verified and used. Under such circumstances, non-homogenous survival model can be used to simulate the arrival process. 展开更多
关键词 Storm Water Overflow Poisson process exponential Distribution Weibull Distribution
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