Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Finite state space non parametric Hidden Markov Models are in general
  identifiable   In this paper, we prove that finite state space non parametric hidden Markov
models are identifiable as soon as the transition matrix of the latent Markov
chain has full rank and the emission probability distributions are linearly
independent. We then propose several non parametric likelihood based estimation
methods, which we apply to models used in applications. We finally show on
examples that the use of non parametric modeling and estimation may improve the
classification performances.

24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
1
The categories of this paper are: cs
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg