Maximum likelihood estimation of a monotone probability mass function with unknown labels
(2019) In Master's Theses in Mathematical Sciences FMSM01 20191Mathematical Statistics
- Abstract
- In this paper we discuss methods to estimate a monotone frequency of species
in a population when the ordering of species is unknown.
The question arises from [5], where the case of known order was taken
into account, and the method is inspired by [2].
We discuss first a regression approach that however only leads to the
trivial solution, and then a likelihood approach that allows some generali-
sations and provides inspiration for future work. We discuss existence and
uniqueness of the solution, and future work might be related to discussing
consistency as well as asymptotic distribution results and if possible to look
for an analytic expression of it.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8984708
- author
- Greselin, Pietro
- supervisor
- organization
- course
- FMSM01 20191
- year
- 2019
- type
- H2 - Master's Degree (Two Years)
- subject
- publication/series
- Master's Theses in Mathematical Sciences
- report number
- LUTFMS-3372-2019
- ISSN
- 1404-6342
- other publication id
- 2019:38
- language
- English
- id
- 8984708
- date added to LUP
- 2019-06-17 11:45:04
- date last changed
- 2024-09-30 12:35:17
@misc{8984708, abstract = {{In this paper we discuss methods to estimate a monotone frequency of species in a population when the ordering of species is unknown. The question arises from [5], where the case of known order was taken into account, and the method is inspired by [2]. We discuss first a regression approach that however only leads to the trivial solution, and then a likelihood approach that allows some generali- sations and provides inspiration for future work. We discuss existence and uniqueness of the solution, and future work might be related to discussing consistency as well as asymptotic distribution results and if possible to look for an analytic expression of it.}}, author = {{Greselin, Pietro}}, issn = {{1404-6342}}, language = {{eng}}, note = {{Student Paper}}, series = {{Master's Theses in Mathematical Sciences}}, title = {{Maximum likelihood estimation of a monotone probability mass function with unknown labels}}, year = {{2019}}, }