Spatiotemporal variation and inter-transport of atmospheric speciated mercury between Kaohsiung Harbor and neighboring urban areas

IC Tu, CS Yuan, YL Tseng, CW Lee, C Lin - Environmental Pollution, 2024 - Elsevier
This study investigated the spatiotemporal variation, gas-particle partition, and source
resolution of atmospheric speciation mercury (ASM) in Kaohsiung Harbor and neighboring …

Three-way data clustering based on the mean-mixture of matrix-variate normal distributions

M Naderi, M Tamandi, E Mirfarah, WL Wang… - Computational Statistics & …, 2024 - Elsevier
With the steady growth of computer technologies, the application of statistical techniques to
analyze extensive datasets has garnered substantial attention. The analysis of three-way …

Robust bilinear factor analysis based on the matrix-variate distribution

X Ma, J Zhao, C Shang, F Jiang, PLH Yu - arXiv preprint arXiv:2401.02203, 2024 - arxiv.org
Factor Analysis based on multivariate $ t $ distribution ($ t $ fa) is a useful robust tool for
extracting common factors on heavy-tailed or contaminated data. However, $ t $ fa is only …

A novel robust meta-analysis model using the distribution for outlier accommodation and detection

Y Wang, J Zhao, F Jiang, L Shi, J Pan - arXiv preprint arXiv:2406.04150, 2024 - arxiv.org
Random effects meta-analysis model is an important tool for integrating results from multiple
independent studies. However, the standard model is based on the assumption of normal …

[PDF][PDF] Neural Networks, Fuzzy Systems and Pattern Recognition: A Comparative Study

C Chao - 2023 - pdfs.semanticscholar.org
Artificial Intelligence (AI) and Machine Learning (ML) have been rapidly advancing in recent
years, with many new techniques and models being developed. One area of AI and ML that …