Soil contamination by heavy metals is a problem in agricultural irrigation systems. To assess
the accumulation and sources of heavy metals in the Yongji irrigation district of the Hetao …

Mixtures of t factor analyzers (MtFA) are powerful and widely used tools for robust clustering
of high-dimensional data in the presence of outliers. However, the occurrence of missing …

沉积物环境敏感粒度是进行古环境研究的重要方法之一, 然而华北平原地区很少进行完整的第四
纪全取心深孔沉积物环境敏感粒度组分的提取及分析. 对天津渤海湾G1 和G2 …

页岩油属于非常规资源, 其储层“甜点” 是主要的勘探目标, 有必要将泥页岩层系进行细分.
而页岩油储层具有薄互层多, 岩石物理差异不明显的特点, 单一的测井曲线并不能全面地反映 …

The Bayesian information criterion (BIC), defined as the observed data log likelihood minus
a penalty term based on the sample size N, is a popular model selection criterion for factor …

The mixture of factor analyzers (MFA) model has emerged as a useful tool to perform
dimensionality reduction and model-based clustering for heterogeneous data. In seeking the …

The t factor analysis (tFA) model is a promising tool for robust reduction of high-dimensional
data in the presence of heavy-tailed noises. When determining the number of factors of the …

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 …

We develop a novel estimation algorithm for a dynamic factor model (DFM) applied to panel
data with a short time dimension and a large cross sectional dimension. Current DFMs …

Linear factor structures often exist in empirical data, and they can be mapped by factor
analysis. It is, however, not straightforward how to measure the goodness of a factor analysis …