Results 261 to 270 of about 20,009 (303)

CONDITIONAL AND MULTINOMIAL LOGITS AS BINARY LOGIT REGRESSIONS

Advances in Adaptive Data Analysis, 2011
For a categorical variable with several outcomes, its dependence on the predictors is usually considered in the conditional or multinomial logit models. This work considers elasticity features of the binary and categorical logits and introduces the coefficients individual by observations.
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On the multinomial logit model

Physica A: Statistical Mechanics and its Applications, 1999
Abstract We show that the Multinomial Logit model of bounded rational choice can be derived in the same way as the Gibbs–Boltzmann distribution in statistical physics. In particular, this model describes the behavior of a thermodynamic agent (which is an agent whose utility function depends on a very large number of variables) with respect to a ...
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Random Forests for multiclass classification: Random MultiNomial Logit [PDF]

Expert Systems with Applications, 2008
Several supervised learning algorithms are suited to classify instances into a multiclass value space. MultiNomial Logit (MNL) is recognized as a robust classifier and is commonly applied within the CRM (Customer Relationship Management) domain. Unfortunately, to date, it is unable to handle huge feature spaces typical of CRM applications.
Anita Prinzie, Dirk Van den Poel
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Thompson Sampling for the Multinomial Logit Bandit

Mathematics of Operations Research
We consider a dynamic combinatorial optimization problem where at each time step, the decision maker selects a subset of cardinality K from N possible items and observes a feedback in the form of the index of one of the items in the said subset or none.
Shipra Agrawal 0001, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi   +3 more
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A Multinomial Extension of the Linear Logit Model

International Economic Review, 1969
A large number of analyses in the social sciences are concerned with the determinants of the probability that a particular event will occur. For example, one may be interested in the forces which motivate commuters to use their cars to go to work as against some form of mass transport. Time, cost, and other considerations will play a role. Let p be the
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Estimation of the multinomial logit model with random effects

Applied Economics Letters, 2003
In the present paper, it is shown how to perform estimation of the random effects multinomial logit model in the SAS program. Inference in the random effects multinomial logit model is complicated because it requires evaluation of multi-dimensional integrals.
Svarer, M., Machow-Møller, N.
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A multilevel multinomial logit model for the analysis of graduates’ skills

Statistical Methods and Applications, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GRILLI, LEONARDO, RAMPICHINI, CARLA
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Preferences-based learning of multinomial logit model

Knowledge and Information Systems, 2018
We learn the parameters of the popular multinomial logit model to gain insights about a DM’s decision process. We accomplish this objective through the recent algorithmic advances in the emerging field of preference learning. The empirical evaluation of the proposed approach is performed on a set of 12 publicly available benchmark datasets.
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The Nested Multinomial Logit Model

1987
An important and intuitive generalization of the MNL specification is the nested multinomial logit (NMNL) model (McFadden, 1978). This model is able to generate substantial deviations from the “Independence of Irrelevant Alternatives” assumption but retains most of the computational advantages of the MNL model. Because of these features, the NMNL model
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Integrating the Dirichlet-multinomial and multinomial logit models of brand choice

Marketing Letters, 1993
This paper discusses the interpretative benefits that arise from merging the Dirichlet-multinomial (DM) model as a loyalty variable in the multinomial logit (MNL) model of brand choice. The estimated parameters of this hybrid model compare favorably to those of a “pure” DM model (with no marketing mix variables) as well as those of a standard MNL model
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