We consider the goodness-of-fit testing problem of distinguishing whether the data are drawn from a specified distribution, versus a composite alternative separated from the null in the total variation metric. In the discrete case, we consider goodness-of-fit testing when the null distribution has a possibly growing or unbounded number of categories. In the continuous case, we consider testing ...

In this paper, we study the secrecy capacity region for the 3-receiver broadcast channel (BC) with degraded message sets, where a confidential message is kept secret from one of the receivers. This model is more general than the previously studied degraded broadcast channel (BC) with confidential messages, as the wiretap receiver is supposed to receive the common message. Our main results are t...

We study a variant of the successive refinement problem with receiver side information where the receivers require identical reconstructions. We present general inner and outer bounds for the rate region for this variant and present a single-letter characterization of the admissible rate region for several classes of the joint distribution of the source and the side information. The characteriz...

In [1], the authors present a novel tool to establish achievability results in network information theoretic problems. The main idea is to study a set of discrete memoryless correlated sources, and the ensuing statistics of the bin indices resulting from random binning of the sources. Sufficient conditions are established on rates of random binning such that these indices are mutually independe...

As a deep learning model, confidence screening forest (gcForestcs) has achieved great success in various applications. Compared with the traditional approach, gcForestcs effectively reduces high time cost by passing some instances high-confidence region directly to final stage. However, there is group of low accuracy region, which are called mis-partitioned instances. To find these instances, t...

Phylogenomic approaches offer a wealth of data, but a bewildering diversity of methodological choices. These choices can strongly affect the resulting topologies. Here, we explore two controversial approaches (binning genes into "supergenes" and inclusion of only rapidly evolving sites), using new data from hyloid frogs. Hyloid frogs encompass ∼53% of frog species, including true toads (Bufonid...