Deep Neural Networks Guided Ensemble Learning for Point Estimation

MCNN: Masked Convolutional Neural Network for Supervised Learning Problems

(2020) Leo Yu‐Feng Liu et al.   Stat

Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis

(2020) George N. Ioannou et al.   JAMA Network Open

On deep learning as a remedy for the curse of dimensionality in nonparametric regression

(2019) Benedikt Bauer et al.   ANNALS OF STATISTICS

Error bounds for approximations with deep ReLU networks

(2017) Dmitry Yarotsky   NEURAL NETWORKS

An Example of an Improvable Rao–Blackwell Improvement, Inefficient Maximum Likelihood Estimator, and Unbiased Generalized Bayes Estimator

(2016) Tal Galili et al.   AMERICAN STATISTICIAN

Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome

(2014) Ming-Hui Chen et al.   BIOMETRICS

On shrinkage and model extrapolation in the evaluation of clinical center performance

(2014) M. Varewyck et al.   BIOSTATISTICS

Challenges of Big Data analysis

(2014) Jianqing Fan et al.   National Science Review

A remark on estimating the mean of a normal distribution with known coefficient of variation

(2013) Rasul A. Khan   STATISTICS

Summarizing historical information on controls in clinical trials

(2010) Beat Neuenschwander et al.   Clinical Trials

Efficient Spectral Sparse Grid Methods and Applications to High-Dimensional Elliptic Problems

(2010) Jie Shen et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Adaptive designs for confirmatory clinical trials

(2009) Frank Bretz et al.   STATISTICS IN MEDICINE

Estimation following selection of the largest of two normal means

(2007) Nigel Stallard et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE