Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Methods to Deal with Unknown Populational Minima during Parameter
  Inference   There is a myriad of phenomena that are better modelled with semi-infinite
distribution families, many of which are studied in survival analysis. When
performing inference, lack of knowledge of the populational minimum becomes a
problem, which can be dealt with by making a good guess thereof, or by
handcrafting a grid of initial parameters that will be useful for that
particular problem. These solutions are fine when analyzing a single set of
samples, but it becomes unfeasible when there are multiple datasets and a
case-by-case analysis would be too time consuming. In this paper we propose
methods to deal with the populational minimum in algorithmic, efficient and/or
simple ways. Six methods are presented and analyzed, two of which have full
theoretical support, but lack simplicity. The other four are simple and have
some theoretical grounds in non-parametric results such as the law of iterated
logarithm, and they exhibited very good results when it comes to maximizing
likelihood and being able to recycle the grid of initial parameters among the
datasets. With our results, we hope to ease the inference process for
practitioners, and expect that these methods will eventually be included in
software packages themselves.

15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con