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20052024
most citedVerification of the Crooks fluctuation theorem and recovery of RNA folding free energies

1.1k citations

Showing stat.MEShow all

7 papers · 1 filter

stat.ME2020★ 8 cited

An efficient and accurate approximation to the distribution of quadratic forms of Gaussian variables

Hong Zhang, Judong Shen, Zheyang Wu

In computational and applied statistics, it is of great interest to get fast and accurate calculation for the distributions of the quadratic forms of Gaussian random variables. Thi…

stat.ME2020★ 1 cited

Multiplicity for a Group Sequential Trial with Biomarker Subpopulations

Ting-Yu Chen, Jing Zhao, Linda Sun +1

Biomarker subpopulations have become increasingly important for drug development in targeted therapies. The use of biomarkers has the potential to facilitate more effective outcome…

stat.ME2020★ 15 cited

The Reciprocal Bayesian LASSO

Himel Mallick, Rahim Alhamzawi, Erina Paul +1

A reciprocal LASSO (rLASSO) regularization employs a decreasing penalty function as opposed to conventional penalization approaches that use increasing penalties on the coefficient…

stat.ME2017★ 7 cited

Familywise Error Rate Controlling Procedures for Discrete Data

Yalin Zhu, Wenge Guo

In applications such as clinical safety analysis, the data of the experiments usually consists of frequency counts. In the analysis of such data, researchers often face the problem…

stat.ME2016★ 72 cited

Sparse Convex Clustering

Binhuan Wang, Yilong Zhang, Will Wei Sun +1

Convex clustering, a convex relaxation of k-means clustering and hierarchical clustering, has drawn recent attentions since it nicely addresses the instability issue of traditional…

stat.ME2014★ 33 cited

Multiple testing with discrete data: proportion of true null hypotheses and two adaptive FDR procedures

Xiongzhi Chen, Rebecca W. Doerge, Joseph F. Heyse

We consider multiple testing with false discovery rate (FDR) control when p-values have discrete and heterogeneous null distributions. We propose a new estimator of the proportion…

stat.ME2009★ 3 cited

SMART: A statistical framework for optimal design matrix generation with application to fMRI

Gautam Pendse, Adam Schwarz, Richard Baumgartner +3

The general linear model (GLM) is a well established tool for analyzing functional magnetic resonance imaging (fMRI) data. Most fMRI analyses via GLM proceed in a massively univari…