A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification
نویسندگان
چکیده
منابع مشابه
emittance control in high power linacs
چکیده این پایان نامه به بررسی اثر سیم پیچ مغناطیسی و کاوه یِ خوشه گر با بسامد رادیویی بر هاله و بیرونگراییِ باریکه هایِ پیوسته و خوشه ایِ ذرات باردار در شتابدهنده های خطیِ یونی، پروتونی با جریان بالا می پردازد و راه حل هایی برای بهینه نگهداشتن این کمیتها ارایه می دهد. بیرونگرایی یکی از کمیتهای اساسی باریکه هایِ ذرات باردار در شتابدهنده ها است که تاثیر قابل توجهی بر قیمت، هزینه و کاراییِ هر شتابدهند...
Feature Selection in High-Dimensional Classification
High-dimensional discriminant analysis is of fundamental importance in multivariate statistics. Existing theoretical results sharply characterize different procedures, providing sharp convergence results for the classification risk, as well as the l2 convergence results to the discriminative rule. However, sharp theoretical results for the problem of variable selection have not been established...
متن کاملUncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference
Causal inference among high-dimensional time series data proves an important research problem in many fields. While in the classical regime one often establishes causality among time series via a concept known as “Granger causality,” existing approaches for Granger causal inference in high-dimensional data lack the means to characterize the uncertainty associated with Granger causality estimate...
متن کاملSemi-Penalized Inference with False Discovery Rate Control in High-dimensional Linear Regression
Jian Huang1,5,∗, Jin Liu, Shuangge Ma, Cun-Hui Zhang and Yong Zhou Department of Statistics and Actuarial Science, University of Iowa, Iowa City, Iowa, U.S.A. Center of Quantitative Medicine, Duke-NUS Medical School,Singapore Department of Biostatistics, Yale University, New Haven, Connecticut, U.S.A. Department of Statistics and Biostatistics, Rutgers University, Piscataway, New Jersey, U.S.A....
متن کاملJoint Testing and False Discovery Rate Control in High-Dimensional Multivariate Regression
Multivariate regression with high-dimensional covariates has many applications in genomic 15 and genetic research, in which some covariates are expected to be associated with multiple responses. This paper considers joint testing for regression coefficients over multiple responses and develops simultaneous testing methods with false discovery rate control. The test statistic is based on inverse...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistica Sinica
سال: 2024
ISSN: ['1017-0405', '1996-8507']
DOI: https://doi.org/10.5705/ss.202022.0219