Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Communication-Efficient Distributed Multiple Testing for Large-Scale
  Inference   The Benjamini-Hochberg (BH) procedure is a celebrated method for multiple
testing with false discovery rate (FDR) control. In this paper, we consider
large-scale distributed networks where each node possesses a large number of
p-values and the goal is to achieve the global BH performance in a
communication-efficient manner. We propose that every node performs a local
test with an adjusted test size according to the (estimated) global proportion
of true null hypotheses. With suitable assumptions, our method is
asymptotically equivalent to the global BH procedure. Motivated by this, we
develop an algorithm for star networks where each node only needs to transmit
an estimate of the (local) proportion of nulls and the (local) number of
p-values to the center node; the center node then broadcasts a parameter
(computed based on the global estimate and test size) to the local nodes. In
the experiment section, we utilize existing estimators of the proportion of
true nulls and consider various settings to evaluate the performance and
robustness of our method.

6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph