Abstract: Multivariate statistical analysis is the use of mathematical models and statistical theory to study multivariate problems. Based on Bloom's cognitive theory, according to the learner's ...
In this repository, we present the code of "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting". conda create -n cmamba ...
Abstract: To address the challenges of traditional marine meteorological prediction methods, which struggle to effectively capture intervariable correlations in multivariate time series data and ...
Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, ...
Gender-disaggregated multivariate probit models were constructed to estimate the relationship between DHL and awareness of and access to sexual health products and services (eg, sexual and ...
AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
The final, formatted version of the article will be published soon. This study reveals a counterintuitive relationship between flood risk information and residential decisions through a discrete ...
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