Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Maximum leave-one-out likelihood estimation for location parameter of
  unbounded densities   Maximum likelihood estimation of a location parameter fails when the density
have unbounded mode. An alternative approach is considered by leaving out a
data point to avoid the unbounded density in the full likelihood. This
modification give rise to the leave-one-out likelihood. We propose an ECM
algorithm which maximises the leave-one-out likelihood. It was shown that the
estimator which maximises the leave-one-out likelihood is consistent and
super-efficient. However, other asymptotic properties such as the optimal rate
of convergence and asymptotic distribution is still under question. We use
simulations to investigate these asymptotic properties of the location
estimator using our proposed algorithm.

19
The categories of this paper are: eess
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an