The β-model for random graphs is commonly used for
representing pairwise...
Nonparametric two-sample testing is a classical problem in inferential
s...
The kernel two-sample test based on the maximum mean discrepancy (MMD) i...
In this paper we study the problem of measuring and testing joint
indepe...
Logistic regression is one of the most fundamental methods for modeling ...
In this paper we consider the uniformity testing problem for high-dimens...
The Wilcoxon rank-sum test is one of the most popular distribution-free
...
Network sampling is an indispensable tool for understanding features of ...
The p-tensor Ising model is a one-parameter discrete exponential family ...
The hardcore model on a graph G with parameter λ>0 is a probability
meas...
In this paper we consider the problem of parameter estimation in the p-s...
The p-tensor Curie-Weiss model is a two-parameter discrete exponential
f...
In this paper we consider the problem of estimating the joint upper and ...
An important problem in contemporary immunology studies based on single-...
Let P be a set of points in ℝ^d, B a bicoloring of P and
a family of ge...
To identify the estimand in missing data problems and observational stud...
We consider the problem of closeness testing for two discrete distributi...