Although hydrothermal treatment dewatering (HTD) has become an important direction of efficient and clean utilization of lignite, there are still few studies on the downstream combustion characteristics based on HTD process. In particular, the influence mechanism of HTD on the combustion...

To estimate the high-dimensional covariance matrix, row sparsity is often assumed such that each row has a small number of nonzero elements. However, in some applications, such as factor modeling, there may be many non-zero loadings of the common factors. The corresponding variables are also...

Purpose: This study aims to investigate whether lending to women decreases sustainability of microfinance institutions (MFIs) and how regional characteristics where MFIs are located moderate this effect. Design/methodology/approach: Financial and operating data of MFIs and national cultures are...

We introduce a nonparametric method for estimating non-Gaussian graphical models based on a new statistical relation called additive conditional independence, which is a three-way relation among random vectors that resembles the logical structure of conditional independence. Additive conditional...

Recent years have seen the developments of several methods for sparse principal component analysis due to its importance in the analysis of high dimensional data. Despite the demonstration of their usefulness in practical applications, they are limited in terms of lack of orthogonality in the...

Purpose – The purpose of this paper is to reduce the calculation burden and speed up the estimation process of Allan variance method while ensuring the exactness of the analysis results. Design/methodology/approach – A series of six‐hour static tests have been implemented at room...

Estimating the proportion of true null hypotheses, π₀, has attracted much attention in the recent statistical literature. Besides its apparent relevance for a set of specific scientific hypotheses, an accurate estimate of this parameter is key for many multiple testing procedures. Most existing...

Recent technology advances make it possible to collect whole-genome transcription factor binding (TFB) profiles from multiple species through the ChIP-Seq data. This provides rich information to understand TFB evolution. However, few rigorous statistical models are available to infer TFB...