This study presents a Latent Class Choice Model (LCCM) with a flexible class membership component. Specifically, it formulates the latent classes using Gaussian-Bernoulli mixture models and investigates the impact of such formulation on the representation of heterogeneity in the choice process, goodness...
We present a Gaussian Process – Latent Class Choice Model (GP-LCCM) to integrate a non-parametric class of probabilistic machine learning within discrete choice models (DCMs). Gaussian Processes (GPs) are kernel-based algorithms that incorporate expert knowledge by assuming priors over latent functio...
Lccm is a Python package for estimating latent class choice models using the Expectation Maximization (EM) algorithm to maximize the likelihood function. Main Features Latent Class Choice Models Supports datasets where the choice set differs across observations. Allows the analyst to capture correlation ...
the influence of country of origin on german consumer preferences for peaches: a latent class choice model the influence of country of origin on german con... The third segment (11%) had a negative preference for Italian and Spanish peaches, with price being the main attribute. Keywords: Germ...
The conceptual model is operationalised using a latent class and latent variable model and empirically validated using data collected through an Australian consumer panel. We demonstrate how this integrated model framework may be used to understand the relationship between normative beliefs, modality ...
Title:Latent Class Model in STATA 10 Hi, I am analysing a discrete choice data from a choice survey. I am trying to use Latent Class Model to account for heterogeneous preferences. I initially used Nlogit 4 for Latent Class Model (LCM) which was pretty straight forward but it could not ...
Van den Berg, Pauline, Astrid Kemperman, and Harry Timmermans. 2014. "Social Inter- action Location Choice: A Latent Class Modeling Approach." Annals of the Association of American Geographers 104(5):959-72.van den Berg, P., Kemperman, A. & Timmermans, H. (2014). Social Interaction ...
In this paper, discrete choice methods in the form of multinomial logit and latent class models are proposed to explain ticket purchase timing of passenger railway. The choice model and demand functions are incorporated into a revenue optimization problem which jointly considers pricing and seat alloca...
An application of the model to the choice of long distance travel by three road types (2-lane, 4-lane without a median and 4-lane with a median) by car in New Zealand is used to compare the MNL latent class model with mixed logit. 展开 ...
The latent class model (also called the finite mixture model or the endogenous segmentation approach) has been used in marketing and business (Gupta and Chintagunta, 1994, Bhatnagar and Ghose, 2004), mode choice (Bhat, 1997), site selection (Swait, 2003), and ecological economics (Birol et...