Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic
  Normality and Limitation   Local differential privacy~(LDP) is an information-theoretic privacy
definition suitable for statistical surveys that involve an untrusted data
curator. An LDP version of quasi-maximum likelihood estimator~(QMLE) has been
developed, but the existing method to build LDP QMLE is difficult to implement
for a large-scale survey system in the real world due to long waiting time,
expensive communication cost, and the boundedness assumption of derivative of a
log-likelihood function. We provided an alternative LDP protocol without those
issues, which is potentially much easily deployable to a large-scale survey. We
also provided sufficient conditions for the consistency and asymptotic
normality and limitations of our protocol. Our protocol is less burdensome for
the users, and the theoretical guarantees cover more realistic cases than those
for the existing method.

25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg