Statistical analysis of multimodal imaging data is a challenging task, s...
In this study, we investigate the performance of the Metropolis-adjusted...
The spectral density matrix is a fundamental object of interest in time
...
In this paper, we consider testing the martingale difference hypothesis ...
We propose to model matrix time series based on a tensor CP-decompositio...
A standing challenge in data privacy is the trade-off between the level ...
Models defined by moment conditions are at the center of structural
econ...
Motivated by statistical inference problems in high-dimensional time ser...
Many scientific and economic applications involve the analysis of
high-d...
We propose a new unit-root test for a stationary null hypothesis H_0
aga...
In this paper, we consider efficiently learning the structural informati...
Over-identification is a signature feature of the influential Generalize...
While it is common practice in applied network analysis to report variou...
Data observed at high sampling frequency are typically assumed to be an
...