VEER
发表于 2025-3-21 17:46:39
书目名称Copula-Based Markov Models for Time Series影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0238182<br><br> <br><br>书目名称Copula-Based Markov Models for Time Series影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0238182<br><br> <br><br>书目名称Copula-Based Markov Models for Time Series网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0238182<br><br> <br><br>书目名称Copula-Based Markov Models for Time Series网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0238182<br><br> <br><br>书目名称Copula-Based Markov Models for Time Series被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0238182<br><br> <br><br>书目名称Copula-Based Markov Models for Time Series被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0238182<br><br> <br><br>书目名称Copula-Based Markov Models for Time Series年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0238182<br><br> <br><br>书目名称Copula-Based Markov Models for Time Series年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0238182<br><br> <br><br>书目名称Copula-Based Markov Models for Time Series读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0238182<br><br> <br><br>书目名称Copula-Based Markov Models for Time Series读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0238182<br><br> <br><br>
繁重
发表于 2025-3-21 20:29:31
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健谈
发表于 2025-3-22 03:34:55
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一大群
发表于 2025-3-22 04:42:35
Estimation Under Normal Mixture Models for Financial Time Series Data,assets, we select a normal mixture distribution for the marginal distribution. Based on the normal mixture distribution for the marginal distribution and the Clayton copula for serial dependence, we obtain the corresponding likelihood function. In order to obtain the maximum likelihood estimators, w
gusher
发表于 2025-3-22 10:04:45
Bayesian Estimation Under the ,-Distribution for Financial Time Series,rkov chain. Due to the computational difficulty of obtaining maximum likelihood estimates, alternatively, we develop Bayesian inference using the empirical Bayes method through the resampling procedure. We provide a Metropolis–Hastings algorithm to simulate the posterior distribution. We also analyz
GLUT
发表于 2025-3-22 14:13:48
Control Charts of Mean by Using Copula Markov SPC and Conditional Distribution by Copula,(Commun Stat: Simul Comput 46:3067–3087, 2017) under serial dependence after accounting for the directional dependence by diverse copula functions. To illustrate the method proposed by Kim et al. (Commun Stat: Simul Comput, 2019), we revisit the case study of Major League Baseball (MLB), where the S
GLUT
发表于 2025-3-22 20:10:53
Copula Markov Models for Count Series with Excess Zeros,. In some cases, a specific count, say zero, may occur more often than usual. Additionally, serial dependence might be found among these counts if they are recorded over time. Overlooking the frequent occurrence of zeros and the serial dependence could lead to false inference. In this chapter, Marko
无辜
发表于 2025-3-22 23:22:08
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peptic-ulcer
发表于 2025-3-23 03:55:08
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outskirts
发表于 2025-3-23 08:20:37
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