Marginal Bayesian Posterior Inference using Recurrent Neural Networks with Application to Sequential Models [0.03%]
利用递归神经网络进行边缘后验推理及其在序列模型中的应用
Thayer Fisher,Alex Luedtke,Marco Carone et al.
Thayer Fisher et al.
In Bayesian data analysis, it is often important to evaluate quantiles of the posterior distribution of a parameter of interest (e.g., to form posterior intervals). In multi-dimensional problems, when non-conjugate priors are used, this is ...
ACCURATE CONSTRUCTION OF LONG RANGE HAPLOTYPE IN UNRELATED INDIVIDUALS [0.03%]
在非亲缘个体中精确构建长程基因型hapsnomes
Nicholas A Johnson,Stephanie J London,Isabelle Romieu et al.
Nicholas A Johnson et al.
Haplotype, or the sequence of alleles along a single chromosome, has important applications in phenotype-genotype association studies, as well as in population genetics analyses. Because haplotype cannot be experimentally assayed in diploid...
Sieve estimation of a class of partially linear transformation models with interval-censored competing risks data [0.03%]
区间删失竞争风险数据下部分线性变换模型的筛选估计
Xuewen Lu,Yan Wang,Dipankar Bandyopadhyay et al.
Xuewen Lu et al.
In this paper, we consider a class of partially linear transformation models with interval-censored competing risks data. Under a semiparametric generalized odds rate specification for the cause-specific cumulative incidence function, we ob...
PENALIZED REGRESSION FOR MULTIPLE TYPES OF MANY FEATURES WITH MISSING DATA [0.03%]
具有缺失值的多重类型大数据集的惩罚回归方法研究
Kin Yau Wong,Donglin Zeng,D Y Lin
Kin Yau Wong
Recent technological advances have made it possible to measure multiple types of many features in biomedical studies. However, some data types or features may not be measured for all study subjects because of cost or other constraints. We u...
Interval estimation for operating characteristic of continuous biomarkers with controlled sensitivity or specificity [0.03%]
控制灵敏度或特异性的连续生物标志物的Operating Characteristic性质的区间估计
Yijian Huang,Isaac Parakati,Dattatraya H Patil et al.
Yijian Huang et al.
The receiver operating characteristic (ROC) curve provides a comprehensive performance assessment of a continuous biomarker over the full threshold spectrum. Nevertheless, a medical test often dictates to operate at a certain high level of ...
An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces [0.03%]
基于再生核希尔伯特空间的非参数回归在线投影估计器
Tianyu Zhang,Noah Simon
Tianyu Zhang
The goal of nonparametric regression is to recover an underlying regression function from noisy observations, under the assumption that the regression function belongs to a prespecified infinite-dimensional function space. In the online set...
Feature-weighted elastic net: using "features of features" for better prediction [0.03%]
特征加权弹性网：“特征的特征”在预测中的应用
J Kenneth Tay,Nima Aghaeepour,Trevor Hastie et al.
J Kenneth Tay et al.
In some supervised learning settings, the practitioner might have additional information on the features used for prediction. We propose a new method which leverages this additional information for better prediction. The method, which we ca...
SEMIPARAMETRIC DOSE FINDING METHODS FOR PARTIALLY ORDERED DRUG COMBINATIONS [0.03%]
部分有序药物组合的半参数剂量寻找方法
Matthieu Clertant,Nolan A Wages,John O&#x;Quigley
Matthieu Clertant
We investigate a statistical framework for Phase I clinical trials that test the safety of two or more agents in combination. For such studies, the traditional assumption of a simple monotonic relation between dose and the probability of an...
Robust inference of conditional average treatment effects using dimension reduction [0.03%]
使用降维稳健推断条件平均处理效果
Ming-Yueh Huang,Shu Yang
Ming-Yueh Huang
Personalized treatment aims at tailoring treatments to individual characteristics. An important step is to understand how a treatment effect varies across individual characteristics, known as the conditional average treatment effect (CATE)....
Yeonjoo Park,Xiaohui Chen,Douglas G Simpson
Yeonjoo Park
Irregular functional data in which densely sampled curves are observed over different ranges pose a challenge for modeling and inference, and sensitivity to outlier curves is a concern in applications. Motivated by applications in quantitat...