Improved inference for vaccine-induced immune responses via shape-constrained methods [0.03%]
基于形状约束方法的改进推断以获取疫苗诱导的免疫反应相关信息
Nilanjana Laha,Zoe Moodie,Ying Huang et al.
Nilanjana Laha et al.
We study the performance of shape-constrained methods for evaluating immune response profiles from early-phase vaccine trials. The motivating problem for this work involves quantifying and comparing the IgG binding immune responses to the f...
Linquan Ma,Lan Liu,Wei Yang
Linquan Ma
Envelope method was recently proposed as a method to reduce the dimension of responses in multivariate regressions. However, when there exists missing data, the envelope method using the complete case observations may lead to biased and ine...
Penalized estimation of threshold auto-regressive models with many components and thresholds [0.03%]
具有许多分量和阈值的阈自动回归模型的惩罚估计方法
Kunhui Zhang,Abolfazl Safikhani,Alex Tank et al.
Kunhui Zhang et al.
Thanks to their simplicity and interpretable structure, autoregressive processes are widely used to model time series data. However, many real time series data sets exhibit non-linear patterns, requiring nonlinear modeling. The threshold Au...
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets [0.03%]
基于高维数据集的共同和区别图谱分析方法
Hai Shu,Zhe Qu
Hai Shu
A representative model in integrative analysis of two high-dimensional correlated datasets is to decompose each data matrix into a low-rank common matrix generated by latent factors shared across datasets, a low-rank distinctive matrix corr...
Yi Zhao,Brian Caffo,Xi Luo;Alzheimer’s Disease Neuroimaging Initiative
Yi Zhao
This manuscript presents an approach to perform generalized linear regression with multiple high dimensional covariance matrices as the outcome. In many areas of study, such as resting-state functional magnetic resonance imaging (fMRI) stud...
Efficient methods for the estimation of the multinomial parameter for the two-trait group testing model [0.03%]
二性成组试验模型下多.nominal参数估计的有效方法研究
Gregory Haber,Yaakov Malinovsky
Gregory Haber
Estimation of a single Bernoulli parameter using pooled sampling is among the oldest problems in the group testing literature. To carry out such estimation, an array of efficient estimators have been introduced covering a wide range of situ...
Correcting an estimator of a multivariate monotone function with isotonic regression [0.03%]
利用同 tonic 回归校正多元单调函数的估计量
Ted Westling,Mark J van der Laan,Marco Carone
Ted Westling
In many problems, a sensible estimator of a possibly multivariate monotone function may fail to be monotone. We study the correction of such an estimator obtained via projection onto the space of functions monotone over a finite grid in the...
Si Peng,Xiaotong Shen,Wei Pan
Si Peng
Identification of causal relations among variables is central to many scientific investigations, as in regulatory network analysis of gene interactions and brain network analysis of effective connectivity of causal relations between regions...
Jonathan D Mitchell,Elizabeth S Allman,John A Rhodes
Jonathan D Mitchell
The likelihood ratio statistic, with its asymptotic χ 2 distribution at regular model points, is often used for hypothesis testing. However, the asymptotic distribution can differ at model singularities and boundaries, suggesting the use o...
Ran Dai,Hyebin Song,Rina Foygel Barber et al.
Ran Dai et al.
We study the bias of the isotonic regression estimator. While there is extensive work characterizing the mean squared error of the isotonic regression estimator, relatively little is known about the bias. In this paper, we provide a sharp c...