A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
نویسندگان
چکیده
منابع مشابه
Hierarchical multinomial models 1 Running head: HIERARCHICAL MULTINOMIAL MODELS Hierarchical Multinomial Processing Tree Models: A Latent-Class Approach
Multinomial processing tree models are widely used in many areas of psychology. Their application relies on the assumption of parameter homogeneity, that is, on the assumption that participants do not differ in their parameter values. Tests for parameter homogeneity are proposed that can be routinely used as part of multinomial model analyses to defend the assumption. If parameter homogeneity i...
متن کاملTakeover prediction models and portfolio strategies: A multinomial approach
This paper uses a multinomial framework to develop several takeover prediction models. The motivation for this approach lies with Morck, Shleifer and Vishny (1988), who note that separate considerations are appropriate for predicting which firms are subject to hostile (disciplinary) and friendly (synergistic) takeovers. In a typical binomial setting, in which takeover targets are treated as bel...
متن کاملDiagonal Orthant Multinomial Probit Models
Bayesian classification commonly relies on probit models, with data augmentation algorithms used for posterior computation. By imputing latent Gaussian variables, one can often trivially adapt computational approaches used in Gaussian models. However, MCMC for multinomial probit (MNP) models can be inefficient in practice due to high posterior dependence between latent variables and parameters,...
متن کاملRunning head: MULTINOMIAL PROCESS MODELS
When primed with a Black face, people are more likely to misidentify a non-weapon as a weapon. Weapon misidentification may hinge on the distinction between controlled and automatic processes. Various relationships between controlled and automatic processes are cast in the form of five multinomial process models, which are illustrated and compared. It is shown that variants of the traditional P...
متن کاملSymmetric Bayesian Multinomial Probit Models
Standard Bayesian multinomial probit (MNP) models that are fit using different base categories can give different predictions. Therefore, we propose the symmetric MNP model, which does not make reference to a base category. To achieve this, we employ novel sum-to-zero identifying restrictions on the latent utilities and regression coefficients that define the model. This results in a model whos...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Entropy
سال: 2020
ISSN: 1099-4300
DOI: 10.3390/e22030306