This article reports findings of a meta-analytical study of research on distance education.
The purpose of this study was to identify factors that affect the effectiveness of distance …

The genetic architecture of autism spectrum disorder involves the interplay of common and
rare variants and their impact on hundreds of genes. Using exome sequencing, here we …

We provide upper bounds of the expected Wasserstein distance between a probability
measure and its empirical version, generalizing recent results for finite dimensional Euclidean …

We develop a general framework for distribution-free predictive inference in regression, using
conformal inference. The proposed methodology allows for the construction of a prediction …

We show by means of several examples that robust statistical estimators present an excellent
starting point for differentially private estimators. Our algorithms use a new paradigm for …

Autism spectrum disorder (ASD) is a complex developmental syndrome of unknown etiology.
Recent studies employing exome- and genome-wide sequencing have identified nine high-…

This study focused on “digital natives” as preservice teachers to examine their beliefs,
attitudes, and technology experiences and expertise, identify the strengths and weaknesses in …

We analyze the performance of spectral clustering for community extraction in stochastic block
models. We show that, under mild conditions, spectral clustering applied to the adjacency …

The stochastic block model is a popular tool for studying community structures in network
data. We develop a goodness-of-fit test for the stochastic block model. The test statistic is …

Based on data collected from a middle school, this study investigates how the quantity and
quality of technology use affect student learning outcomes. Specifically, this study examines …