Lorenzo Masoero,Emma Thomas,Giovanni Parmigiani et al.
Lorenzo Masoero et al.
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference [0.03%]
捍卫不可辩护的：高维推理的一种非常天真的方法
Sen Zhao,Daniela Witten,Ali Shojaie
Sen Zhao
A great deal of interest has recently focused on conducting inference on the parameters in a high-dimensional linear model. In this paper, we consider a simple and very naïve two-step procedure for this task, in which we (i) fit a lasso mo...
Response-adaptive randomization in clinical trials: from myths to practical considerations [0.03%]
临床试验中的适应性随机化：从误区到实践考量
David S Robertson,Kim May Lee,Boryana C López-Kolkovska et al.
David S Robertson et al.
Response-Adaptive Randomization (RAR) is part of a wider class of data-dependent sampling algorithms, for which clinical trials are typically used as a motivating application. In that context, patient allocation to treatments is determined ...
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring [0.03%]
用于COVID-19患者监测的动态模型的学习与预测
Zitong Wang,Mary Grace Bowring,Antony Rosen et al.
Zitong Wang et al.
COVID-19 has challenged health systems to learn how to learn. This paper describes the context, methods and challenges for learning to improve COVID-19 care at one academic health center. Challenges to learning include: (1) choosing a right...
High-Performance Statistical Computing in the Computing Environments of the 2020s [0.03%]
二十世纪二十年代的计算环境下的高性能统计计算
Seyoon Ko,Hua Zhou,Jin J Zhou et al.
Seyoon Ko et al.
Technological advances in the past decade, hardware and software alike, have made access to high-performance computing (HPC) easier than ever. We review these advances from a statistical computing perspective. Cloud computing makes access t...
Lorenzo Cappello,Jaehee Kim,Sifan Liu et al.
Lorenzo Cappello et al.
Genomic surveillance of SARS-CoV-2 has been instrumental in tracking the spread and evolution of the virus during the pandemic. The availability of SARS-CoV-2 molecular sequences isolated from infected individuals, coupled with phylodynamic...
Interoperability of statistical models in pandemic preparedness: principles and reality [0.03%]
大流行准备阶段统计模型的互操作性：原则与现实
George Nicholson,Marta Blangiardo,Mark Briers et al.
George Nicholson et al.
We present interoperability as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving pandemic response. Interoperability provides an important set o...
Nikki L B Freeman,Xiaotong Jiang,Owen E Leete et al.
Nikki L B Freeman et al.
Robust high dimensional factor models with applications to statistical machine learning [0.03%]
稳健的高维因子模型及其在统计机器学习中的应用
Jianqing Fan,Kaizheng Wang,Yiqiao Zhong et al.
Jianqing Fan et al.
Factor models are a class of powerful statistical models that have been widely used to deal with dependent measurements that arise frequently from various applications from genomics and neuroscience to economics and finance. As data are col...