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Semiparametric volatility model with varying frequencies 频率变化的半参数波动率模型
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-05-23 DOI: 10.1080/03610918.2024.2356236
Jetrei Benedick R. Benito, Joseph Ryan G. Lansangan, Erniel B. Barrios
Time series data from various sources usually results to variables measured at varying frequencies as this is often dependent on the source. Modeling from these data can be facilitated by aggregati...
来自不同来源的时间序列数据通常会导致以不同频率测量的变量,因为这往往取决于数据来源。利用这些数据建模,可以通过聚合数据来实现。
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引用次数: 0
K-means and gaussian mixture modeling with a separation constraint 带有分离约束的 K-均值和高斯混合物建模
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-05-21 DOI: 10.1080/03610918.2024.2354747
He Jiang, Ery Arias-Castro
We consider the problem of clustering with K-means and Gaussian mixture models with a constraint on the separation between the centers in the context of real-valued data. We first propose a dynamic...
我们考虑了在实值数据背景下使用 K-means 和高斯混合物模型进行聚类的问题,该模型对中心之间的分离有限制。我们首先提出了一种动态...
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引用次数: 0
Using data-driven techniques to predict outpatient ultrasound examination time for the multi-clinic outpatient appointment scheduling problem 利用数据驱动技术预测门诊超声检查时间,解决多诊所门诊预约排期问题
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-05-03 DOI: 10.1080/03610918.2024.2349168
Chin-Hui Lai, Yu-Ju Lu, Ping-Shun Chen
Appointment scheduling for hospital patients is becoming increasingly important because it can reduce patient’s waiting time and enhance hospitals’ medical quality. In the case of ultrasound examin...
医院病人的预约时间安排越来越重要,因为它可以减少病人的等候时间,提高医院的医疗质量。就超声波检查而言,预约排期的重要性日益凸显。
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引用次数: 0
Estimation of heterogeneous population variance using memory-type estimators based on EWMA statistic in the presence of measurement error for time-scaled surveys 在存在测量误差的情况下,使用基于 EWMA 统计量的记忆型估计器估计异质性人口方差,用于时间尺度调查
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-29 DOI: 10.1080/03610918.2024.2328183
Muhammad Nouman Qureshi, Muhammad Umair Tariq, Osama Abdulaziz Alamri, Muhammad Hanif
In this present article, we have suggested memory-type ratio, exponential ratio, product and exponential product estimators based on exponentially weighted moving average statistic for the estimati...
在本文中,我们提出了基于指数加权移动平均统计的记忆型比率、指数比率、乘积和指数乘积估计器,用于估计...
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引用次数: 0
Bootstrap confidence interval estimation in generalized nonlinear models 广义非线性模型中的引导置信区间估计
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-29 DOI: 10.1080/03610918.2024.2344708
Haesu Jeong, Young Min Kim, Ye Jin Bang, Songwon Seo, Won Jin Lee
The excess relative risk (ERR) model is a statistical model commonly used in radiation epidemiology to estimate the increased risk of cancer associated with radiation exposure. Generally, the param...
超额相对风险(ERR)模型是辐射流行病学中常用的一种统计模型,用于估算与辐照相关的癌症增加风险。一般来说,参数...
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引用次数: 0
INAR(1) process with weighted negative binomial Lindley distributed innovations and applications to criminal and COVID-19 data 具有加权负二项林德利分布创新的 INAR(1) 过程及其在犯罪和 COVID-19 数据中的应用
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-15 DOI: 10.1080/03610918.2024.2338184
Zohreh Mohammadi, Hassan S. Bakouch, Predrag M. Popović
In this study, we introduce a pliant stationary first-order integer-valued autoregressive (INAR) process with weighted negative binomial Lindley innovations. The main properties of the model are de...
在本研究中,我们引入了一个具有加权负二项林德利创新的柔性静态一阶整数值自回归(INAR)过程。该模型的主要性质是...
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引用次数: 0
A comparison of nonparametric methods for multivariate two-sample tests 多变量双样本检验的非参数方法比较
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-12 DOI: 10.1080/03610918.2024.2306561
Rosa Arboretti, Elena Barzizza, Riccardo Ceccato
Comparing two multivariate populations can be challenging when the distributional forms are unknown. In such a situation, parametric test procedures are not appropriate given that they require dist...
在分布形式未知的情况下,比较两个多变量群体是一项挑战。在这种情况下,参数检验程序并不合适,因为它们需要对两个变量的分布形式进行...
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引用次数: 0
Continuous-time Markov chain approximation for pricing Asian options under rough stochastic local volatility models 粗略随机局部波动率模型下亚洲期权定价的连续时间马尔可夫链近似法
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-12 DOI: 10.1080/03610918.2024.2334790
Ziqi Lei, Qing Zhou, Weilin Xiao
We propose a general framework for pricing both discretely and continuously monitored arithmetic average Asian options whose underlying asset price satisfies the rough stochastic local volatility m...
我们提出了一个为离散和连续监测算术平均亚洲期权定价的一般框架,其标的资产价格满足粗略随机局部波动率模型。
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引用次数: 0
A more powerful test method for analyzing unreplicated factorial two-level experiments 分析无重复因子两水平实验的更强大测试方法
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-12 DOI: 10.1080/03610918.2024.2338186
Y. Chen
Most of existing methods for analyzing unreplicated two-level factorial designs need the assumption of effect sparsity and only perform well when the effectssparsity assumption holds. The effects-s...
现有的大多数分析无重复两级因子设计的方法都需要效应稀疏性假设,而且只有当效应稀疏性假设成立时,这些方法才会表现良好。效应稀疏性假定是一个非常复杂的问题。
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引用次数: 0
Contrast estimation of the Vasicek integrated diffusion process for high-frequency data 针对高频数据的瓦西切克综合扩散过程对比度估算
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-04-09 DOI: 10.1080/03610918.2024.2337077
Shanchao Yang, Zhiyong Li, Jiaying Xie, Shuyi Luo, Xin Yang
The purpose of this paper is to study the parameter estimation of the Vasicek integrated diffusion process. Based on the contrast function, the parameter contrast estimators of the Vasicek integrat...
本文旨在研究 Vasicek 集成扩散过程的参数估计。基于对比度函数,Vasicek 积分扩散过程的参数对比度估算器可用于估算 Vasicek 积分扩散过程。
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引用次数: 0
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Communications in Statistics-Simulation and Computation
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