Analyzing the geometric properties of high-dimensional loss functions, such as local
curvature and the existence of other optima around a certain point in loss space, can help …

The conventional Q statistic, using estimated inverse‐variance (IV) weights, underlies a
variety of problems in random‐effects meta‐analysis. In previous work on standardized …

The field of neuroscience and the development of artificial neural networks (ANNs) have
mutually influenced each other, drawing from and contributing to many concepts initially …

The Golub-Welsch algorithm [Math. Comp., 23: 221-230 (1969)] for computing Gaussian
quadrature rules is of importance in estimating quadratic forms. Quadrature rules based on …

针对无线传感网预覆盖过程中存在覆盖盲区以及数据频繁重传而导致的节点覆盖抑制现象,
提出了一种基于拨备满足模型的无线传感网网络覆盖算法. 设计一种新的无线传感网节点覆盖 …

State-of-the-art methods for single-cell RNA sequencing (scRNA-seq) Differential
Expression Analysis (DEA) often rely on strong distributional assumptions that are difficult to …

The shotGroups package adds functionality to the open source statistical environment R (R
Development Core Team, 2021a). 1 It provides functions to read in, plot, statistically …

6 Directions for future research 71 6.1 Multi-modal data integration to enhance
measurement resolution. 71 6.2 Incorporating prior biological knowledge to enhance results …

This article is dedicated to shape optimization of elastic materials under random loadings
where the particular focus is on the minimization of failure probabilities. Our approach relies …

This dissertation includes three papers with each distributed in one chapter. In chapter 1, we
use extensive simulation studies and real data studies to evaluate the performance of using …