Controlling the False Discovery Rate (FDR) in a variable selection procedure is critical for reproducible discoveries, which receives an extensive study in sparse linear models.

Bayesian aggregation has many good characteristics in both theory and practice, which is proved more stable and flexible than single model selection.

With the rapid development of wireless communication technologies, location-based social networks(LBSNs), such as Foursquare and Gowalla, have become very popular. LBSNs have attracted millions of users to share their social friendship and their locations via check-ins.

With the rapid increase in the data volume of modern communications, optical fiber infrastructures are required to have a larger capacity and higher transmission rate.

The phase retrieval problem is to recover a signal

We study the problem of community detection in multi-layer networks, where pairs of nodes can be related in multiple modalities.

With the two-stage fourth-order temporal evolution of the gas distribution function and Weighted Essentially Non-Oscillatory (WENO) reconstruction, a high-order finite difference gas-kinetic scheme is proposed.

Recurrent neural networks like long short-term memory (LSTM) have been utilized  as a tool for mo