Results 61 to 70 of about 75,997 (278)
Exploring Two Modified Ali-Mikhail-Haq Copulas and New Bivariate Logistic Distributions
Pan-American Journal of MathematicsThe Ali-Mikhail-Haq copula is a bivariate ratio-type Archimedean copula known for its simplicity and flexibility in modeling moderate negative and positive dependence structures, making it widely used in various fields.
Christophe Chesneau
doaj +1 more source
Copula estimation for nonsynchronous financial data
, 2020 Copula is a powerful tool to model multivariate data. We propose the modelling of intraday financial returns of multiple assets through copula. The problem originates due to the asynchronous nature of intraday financial data.
Chakrabarti, Arnab, Sen, Rituparna
core
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
BarekengFluctuations in exchange rates and foreign stock indices strongly influence domestic stock performance, particularly in the banking sector, which is highly sensitive to global economic dynamics.
Alfi Khairiati +2 more
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Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley +1 more source
Journal of Multivariate Analysis, 2018 Revised version: correction of Assumption 3 and some minor induced ...
Fermanian, Jean-David, Lopez, Olivier
openaire +6 more sources
Journal of Forecasting, EarlyView.ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Zhejiang Daxue xuebao. Lixue ban, 2013 利用Copula-GARCH模型，研究上证地产股指数和金融股指数收益率的相关性.利用边缘函数推断法(IFM)建立2个股指对数收益率的时间序列的GARCH(1，1)-t模型.对边缘分布概率积分变化后的2个服从均匀分布的序列，分别建立常相关的二元Copula模型，包括正态Copula函数、Clayton Copula函数、Gumbel Copula函数、t-Copula函数、SJC-Copula函数和时变相关的二元Copula模型 ...
LIUGui-mei(刘桂梅), ZHAOLi(赵丽)
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Precise Estimation of Cosmological Parameters Using a More Accurate Likelihood Function
, 2010 The estimation of cosmological parameters from a given data set requires a construction of a likelihood function which, in general, has a complicated functional form.
A. Sklar +5 more
core +1 more source
Quasi-Copulas, Copulas and Fuzzy Implicators
International Journal of Computational Intelligence Systems, 2020 In this paper, we study relations between fuzzy implicators and some kinds of fuzzy conjunctors, in particular, quasi-copulas and copulas. We show that there is a one-to-one correspondence between the classes of all quasi-copulas and 1-Lipschitz fuzzy implicators.
Radko Mesiar, Anna Kolesárová
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