Owen Carmichael,Jun Chen,Debashis Paul et al.
Owen Carmichael et al.
Diffusion tensor magnetic resonance imaging (MRI) quantifies the spatial distribution of water Diffusion at each voxel on a regular grid of locations in a biological specimen by Diffusion tensors- 3 × 3 positive definite matrices. Removal ...
Wensong Wu,Edsel A Peña
Wensong Wu
This paper deals with the problem of simultaneously making many (M) binary decisions based on one realization of a random data matrix X. M is typically large and X will usually have M rows associated with each of the M decisions to make, bu...
Bootstrapping a change-point Cox model for survival data [0.03%]
利用自助法.bootstrap估计生存数据变点Cox模型参数的方法及其性质
Gongjun Xu,Bodhisattva Sen,Zhiliang Ying
Gongjun Xu
This paper investigates the (in)-consistency of various bootstrap methods for making inference on a change-point in time in the Cox model with right censored survival data. A criterion is established for the consistency of any bootstrap met...
Eric B Laber,Daniel J Lizotte,Min Qian et al.
Eric B Laber et al.
Dynamic treatment regimes are of growing interest across the clinical sciences because these regimes provide one way to operationalize and thus inform sequential personalized clinical decision making. Formally, a dynamic treatment regime is...
Mladen Kolar,Eric P Xing
Mladen Kolar
We study the problem of estimating a temporally varying coefficient and varying structure (VCVS) graphical model underlying data collected over a period of time, such as social states of interacting individuals or microarray expression prof...
Pavel N Krivitsky
Pavel N Krivitsky
Exponential-family random graph models (ERGMs) provide a principled and flexible way to model and simulate features common in social networks, such as propensities for homophily, mutuality, and friend-of-a-friend triad closure, through choi...
Mihee Lee,Peter Hall,Haipeng Shen et al.
Mihee Lee et al.
In this paper, motivated by an important problem in evolutionary biology, we develop two sieve type estimators for distributions that are mixtures of a finite number of discrete atoms and continuous distributions under the framework of meas...
Fuchang Gao,Jon A Wellner
Fuchang Gao
We establish global rates of convergence of the Maximum Likelihood Estimator (MLE) of a multivariate distribution function on ℝ d in the case of (one type of) "interval censored" data. The main finding is that the rate of convergence of th...
Efficient distribution estimation for data with unobserved sub-population identifiers [0.03%]
具有未观测子总体标识符的数据的高效分布估计方法
Yanyuan Ma,Yuanjia Wang
Yanyuan Ma
We study efficient nonparametric estimation of distribution functions of several scientifically meaningful sub-populations from data consisting of mixed samples where the sub-population identifiers are missing. Only probabilities of each ob...
Pearson-type goodness-of-fit test with bootstrap maximum likelihood estimation [0.03%]
带有Bootstrap极大似然估计的皮尔森拟合优度检验
Guosheng Yin,Yanyuan Ma
Guosheng Yin
The Pearson test statistic is constructed by partitioning the data into bins and computing the difference between the observed and expected counts in these bins. If the maximum likelihood estimator (MLE) of the original data is used, the st...