نتایج جستجو برای: bayesian multilevel space
تعداد نتایج: 595210 فیلتر نتایج به سال:
Mediation analysis is often used to explore the complex relationship between two variables through a third mediating variable. This paper aims illustrate performance of deviance information criterion, pseudo‐Bayes factor, and Watanabe–Akaike criterion in selecting appropriate multilevel mediation model. Our focus will be on comparing conditional criteria (given random effects) versus marginal (...
There isn’t a single authorative definition of a hierarchical model. Gelman et al. (1995) discuss two definitions: 1. “Estimating the population distribution of unonobserved parameters” 2. “Multiple parameters related by the structure of the problem” Intuitively, knowing something about one “experiment” tells us something about another. For example: Multiple similar experiments Similar measurem...
The characteristics of virtual organizations present significant challenges to both distributed data mining methods within a metalearning framework and statistical multi-level models. Using hierarchical models, this paper explicitly address the context heterogeneity existing across the partners of virtual organizations. Two new approaches of context-based distributed data mining are analyzed an...
Multilevel covariance structure models have become increasingly popular in the psychometric literature in the past few years to account for population heterogeneity and complex study designs. We develop practical simulation based procedures for Bayesian inference of multilevel binary factor analysis models. We illustrate how Markov Chain Monte Carlo procedures such as Gibbs sampling and Metropo...
This paper describes a parallel implementation of a texture segmentation algorithm. The algorithm uses a Pearl Bayes Network (PBN) to combine evidence for the location of urban regions in airborne infra-red linescan images and for the location of driveable regions in autonomous land vehicle imagery. A multilevel PBN approach is introduced and followed by an example which is used to illustrate t...
In some distributions, such as the binomial distribution, the variance is determined by the mean. However, in practice, overdispersion is often observed where the variance is larger than that predicated by the mean, and underdispersion is sometimes observed where the variance is smaller. It is well known that overdispersion or underdispersion cannot be modeled for dichotomous responses having a...
in recent years, some statisticians have studied the signal detection problem by using the random field theory. in this paper we have considered point estimation of the gaussian scale space random field parameters in the bayesian approach. since the posterior distribution for the parameters of interest dose not have a closed form, we introduce the markov chain monte carlo (mcmc) algorithm to ap...
Research in marketing, and business in general, involves understanding when effect-sizes are expected to be large and when they are expected to be small. Understanding the contexts in which consumers are sensitive to offers and variables such as price, is an important aspect of merchandising, selling and promotion. In this paper, we propose efficient methods of learning about contextual factors...
Today multilevel association rule mining is an emerging field in data mining. Its main goal is to find hidden information in or between levels of abstraction. It is mainly used for decision making for large data. It focuses on the customer relationship management. Apriori algorithm is mainly used for the multilevel association rule mining. Producing large number of candidate item sets and multi...
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