In this paper, we propose a method for image clustering using multinomial mixture models. The mixture of multinomial distributions, often called multinomial mixture, is a probabilistic model mainly used for text mining. The effectiveness of multinomial distribution for text mining originates from the fact that words can be regarded as independently generated in the first approximation. In this ...

In this paper we present statistical models for text which treat words with higher frequencies of occurrence in a sensible manner, and perform better than widely used models based on the multinomial distribution on a wide range of classification tasks, with two or more classes. Our models are based on the Poisson and Negative-Binomial distributions, which keep desirable properties of simplicity...

This study presents the random-effects rating scale model (RE-RSM) which takes into account randomness in the thresholds over persons by treating them as randomeffects and adding a random variable for each threshold in the rating scale model (RSM) (Andrich, 1978). The RE-RSM turns out to be a special case of the multidimensional random coefficients multinomial logit model (MRCMLM) (Adams, Wilso...

The other-race effect (ORE) refers to the phenomenon that recognition memory for other-race faces is worse than for ownrace faces. We investigated whether White Germans exhibited an ORE towards Turkish or Arabic faces using a multinomial processing tree model (MPT), the two-high threshold model of recognition memory with three response categories (old, skip, and new). Using an MPT enabled us to...

In statistics, a multinomial logit (MNL) model, also known as multinomial logistic regression, is a regression model which generalizes logistic regression by allowing more than two discrete outcomes.[1] That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which...

abstract in this research by using a synchronous equivalents system, the functions of supply and demand of any kind of meat and corn in fars province, iran are considered. the purpose of this study is to predict the functions of supply and the price of meat and corn, recognition and analysis of effective issued on supply and price of this sections, considering the effect of shocks and the cross...

People often misattribute the causes of their thoughts and feelings. The authors propose a multinomial process model of affect misattributions, which separates three component processes. The first is an affective response to the true cause of affect. The second is an affective response to the apparent cause. The third process is when the apparent source is confused for the real source. The mode...

In this paper, we study optimal model averaging estimators of regression coefficients in a multinomial logit model, which is commonly used many scientific fields. A Kullback–Leibler (KL) loss-based weight choice criterion developed to determine weights. Under some regularity conditions, prove that the resulting are asymptotically optimal. When true one candidate models, averaged consistent. Sim...

In probability and statistics, uncertainty is usually quantified using single-valued probabilities satisfying Kolmogorov’s axioms. Generalisation of classical probability theory leads to various less restrictive representations of uncertainty which are collectively referred to as imprecise probability. Several approaches to statistical inference using imprecise probability have been suggested, ...