Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Maximum likelihood estimation of a finite mixture of logistic regression
  models in a continuous data stream   In marketing we are often confronted with a continuous stream of responses to
marketing messages. Such streaming data provide invaluable information
regarding message effectiveness and segmentation. However, streaming data are
hard to analyze using conventional methods: their high volume and the fact that
they are continuously augmented means that it takes considerable time to
analyze them. We propose a method for estimating a finite mixture of logistic
regression models which can be used to cluster customers based on a continuous
stream of responses. This method, which we coin oFMLR, allows segments to be
identified in data streams or extremely large static datasets. Contrary to
black box algorithms, oFMLR provides model estimates that are directly
interpretable. We first introduce oFMLR, explaining in passing general topics
such as online estimation and the EM algorithm, making this paper a high level
overview of possible methods of dealing with large data streams in marketing
practice. Next, we discuss model convergence, identifiability, and relations to
alternative, Bayesian, methods; we also identify more general issues that arise
from dealing with continuously augmented data sets. Finally, we introduce the
oFMLR [R] package and evaluate the method by numerical simulation and by
analyzing a large customer clickstream dataset.

8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat