Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Parameter identification in Markov chain choice models   This work studies the parameter identification problem for the Markov chain
choice model of Blanchet, Gallego, and Goyal used in assortment planning. In
this model, the product selected by a customer is determined by a Markov chain
over the products, where the products in the offered assortment are absorbing
states. The underlying parameters of the model were previously shown to be
identifiable from the choice probabilities for the all-products assortment,
together with choice probabilities for assortments of all-but-one products.
Obtaining and estimating choice probabilities for such large assortments is not
desirable in many settings. The main result of this work is that the parameters
may be identified from assortments of sizes two and three, regardless of the
total number of products. The result is obtained via a simple and efficient
parameter recovery algorithm.

23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol