Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates
نویسندگان
چکیده
منابع مشابه
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates
MOTIVATION Technological advances that allow routine identification of high-dimensional risk factors have led to high demand for statistical techniques that enable full utilization of these rich sources of information for genetics studies. Variable selection for censored outcome data as well as control of false discoveries (i.e. inclusion of irrelevant variables) in the presence of high-dimensi...
متن کاملAdditive risk models for survival data with high-dimensional covariates.
As a useful alternative to Cox's proportional hazard model, the additive risk model assumes that the hazard function is the sum of the baseline hazard function and the regression function of covariates. This article is concerned with estimation and prediction for the additive risk models with right censored survival data, especially when the dimension of the covariates is comparable to or large...
متن کاملGradient Boosting With Piece-Wise Linear Regression Trees
Gradient boosting using decision trees as base learners, so called Gradient Boosted Decision Trees (GBDT), is a very successful ensemble learning algorithm widely used across a variety of applications. Recently, various GDBT construction algorithms and implementation have been designed and heavily optimized in some very popular open sourced toolkits such as XGBoost and LightGBM. In this paper, ...
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 کاملemittance 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...
ذخیره 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: Bioinformatics
سال: 2015
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btv517