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Showing 1 to 10 of 10 for “"Multinomial logit (MNL) model"”.
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Collaborative ranking from ordinal data
… learn hidden preferences of users through the multinomial logit (MNL) model, a discrete choice model. It also shows that the algorithm is efficient in terms of the number of observations needed.
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Estimating the number of cars in UK and US households
… this gap, this study developed an integrating Multinomial logit (MNL) model to examine the impact of some rarely-investigated and conventional explanatory variables, including: ethnicity, accommodation tenure, settlement nature, mental belief, environmental concern, geographical regions, …
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Prediction and optimization in school choice
… school. To answer these questions, I build a multinomial logit (MNL) model to predict how students will rank schools under new menus, and validate the predictive accuracy of this model out of sample. I also propose a simple plan for menus and priorities, called the Home-Based plan, and compare …
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Data-Driven Learning Models with Applications to Retail Operations
… of the dynamic clustering policy under the Multinomial Logit (MNL) model can be substantial and result (on average) in more than 37% additional transactions compared to a data-intensive policy that treats customers independently and in more than 27% additional transactions compared to a …
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The cost to employers of limiting the catchment size from which they employ their staff. Viola Proctor.
… staff (earning R10 001 – R30 000 per month). A Multinomial Logit (MNL) model was used to analyse the Level 1 and Level 2 data separately in terms of employers‟ utility. Results showed that an inflection occurs in employers‟ perceived value of catchment size and indicates a possible range at …
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Assortment planning in supply chains
… Assortment planning under discrete choice models has been broadly studied, but these papers usually assume the setting of direct selling where there is no middleman's decision involved. In this thesis, by considering the wholesaler's market price optimization, we discuss the assortment …
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Learning Mixed Multinomial Logit Models
Multinomial logit (MNL) model is widely used to predict the probabilities of different outcomes. However, standard MNL model suffers from several issues, including but not limited to heterogeneous population, the restricted independence of irrelevant alternative (IIA) assumption, insufficient model …
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Assortment and Pricing Optimisation under non-conventional customer choice models
… provided that customers follow a certain model of choice. Most studied models satisfy the following property: whenever the offered set is enlarged, then the probability of selecting a specific product decreases. This property is called regularity in the literature. However, customer …
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Assortment and Pricing Optimisation under non-conventional customer choice models
… provided that customers follow a certain model of choice. Most studied models satisfy the following property: whenever the offered set is enlarged, then the probability of selecting a specific product decreases. This property is called regularity in the literature. However, customer …
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Nonparametric choice modeling : applications to operations management
… predictions, one uses what is called a choice model, which models each choice occasion as follows: given an offer set, a preference list over alternatives is sampled according to a certain distribution, and the individual chooses the most preferred alternative according to the sampled …