25 citations · 31 across the 13 of their papers we have counts for
5 papers · 1 filter
Testing for high-dimensional white noise
Long Feng, Binghui Liu, Yanyuan Ma
Testing for multi-dimensional white noise is an important subject in statistical inference. Such test in the high-dimensional case becomes an open problem waiting to be solved, esp…
Sparse Kronecker Product Decomposition: A General Framework of Signal Region Detection in Image Regression
Sanyou Wu, Long Feng
This paper aims to present the first Frequentist framework on signal region detection in high-resolution and high-order image regression problems. Image data and scalar-on-image re…
Deep Kronecker Network
Long Feng, Guang Yang
We propose Deep Kronecker Network (DKN), a novel framework designed for analyzing medical imaging data, such as MRI, fMRI, CT, etc. Medical imaging data is different from general i…
Asymptotic Independence of the Quadratic form and Maximum of Independent Random Variables with Applications to High-Dimensional Tests
Dachuan Chen, Decai Liang, Long Feng
This paper establishes the asymptotic independence between the quadratic form and maximum of a sequence of independent random variables. Based on this theoretical result, we find t…
Rank Based Tests for High Dimensional White Noise
Dachuan Chen, Fengyi Song, Long Feng
The development of high-dimensional white noise test is important in both statistical theories and applications, where the dimension of the time series can be comparable to or exce…