We establish the asymptotic theory of least absolute deviation estimator...
Let {X_n: n∈} be a linear process with density function f(x)∈
L^2(). We ...
We consider regression estimation with modified ReLU neural networks in ...
Deep learning (DL) has gained much attention and become increasingly pop...
In this paper we propose a variable bandwidth kernel regression estimato...
In this paper, we estimate the Shannon entropy S(f) = -[ log (f(x))] of
...
We study the Cramér type moderate deviation for partial sums of random
f...
We study the mutual information estimation for mixed-pair random variabl...
We study a rank based univariate two-sample distribution-free test. The ...
In this paper we study the ideal variable bandwidth kernel density estim...