4 papers
fastcpd: Fast Change Point Detection in R
Xingchi Li, Xianyang Zhang
Change point analysis is concerned with detecting and locating structure breaks in the underlying model of a sequence of observations ordered by time, space or other variables. A w…
Testing composite null hypotheses with high-dimensional dependent data: a computationally scalable FDR-controlling procedure
Pengfei Lyu, Xianyang Zhang, Hongyuan Cao
Testing composite null hypotheses is fundamental to many scientific applications, including mediation and replicability analyses, and becomes particularly challenging in high-throu…
Powerful Large-scale Inference in High Dimensional Mediation Analysis
Asmita Roy, Xianyang Zhang
In genome-wide epigenetic studies, exposures (e.g., Single Nucleotide Polymorphisms) affect outcomes (e.g., gene expression) through intermediate variables such as DNA methylation.…
Bayesian Cramér-Rao Bound Estimation with Score-Based Models
Evan Scope Crafts, Xianyang Zhang, Bo Zhao
The Bayesian Cramér-Rao bound (CRB) provides a lower bound on the mean square error of any Bayesian estimator under mild regularity conditions. It can be used to benchmark the perf…