Recruitment market analysis provides valuable understanding of industry-specific economic
growth and plays an important role for both employers and job seekers. With the rapid …

Brain graphs provide a useful way to computationally model the network structure of the
connectome, and this has led to increasing interest in the use of graph theory to quantitate …

By integrating Haar wavelets with Hidden Markov Models, we achieve drastically reduced
running times for Bayesian inference using Forward-Backward Gibbs sampling. We show …

Summary In this 'Big Data'era, statisticians inevitably encounter data generated from various
disciplines. In particular, advances in bio‐technology have enabled scientists to produce …

Array-based CGH experiments are designed to detect genomic aberrations or regions of
DNA copy-number variation that are associated with an outcome, typically a state of disease …

This paper presents a general half quadratic framework for simultaneous analysis of the
whole array comparative genomic hybridization (aCGH) profiles in a data set. The proposed …

微阵列比较基因组杂化(comparative genomic hybridization, CGH) 技术是用于发现DNA
拷贝数变异的重要技术. 本文根据DNA 片段间的距离及测试样本与参考样本之间的荧光强度比 …

Copy number changes or alterations are a form of genetic variation in the human genome.
Genomic DNA copy number alterations (CNAs) are associated with the development and …

We describe a method for the integration of high-throughput data from different sources.
More specifically, iBATCGH is a package for the integrative analysis of transcriptomic and …

We propose a two-step method for the analysis of copy number data. We first define the
partitions of genome aberrations and conditional on the partitions we introduce a …