Although the state space approach for estimating multilevel regression models has been well established for decades in the time series literature, it does not receive much attention from educational and psychological researchers. In this article, we (a) introduce the state space approach for estimating multilevel regression models and (b) extend the state space approach for estimating multileve...

Bayesian hierarchical models provide a useful way of analyzing multilevel survey data. The Bayesian estimates have good statistical properties, make good predictions, and realistically account for clustering in the data. Still the Bayesian estimates can be biased in the presence of omitted variables and fixed effect models might sometimes be preferable. Bayesian statistics for model comparison ...

Multilevel clustering problems where the content and contextual information are jointly clustered are ubiquitous in modern datasets. Existing works on this problem are limited to small datasets due to the use of the Gibbs sampler. We address the problem of scaling up multilevel clustering under a Bayesian nonparametric setting, extending the MC2 model proposed in (Nguyen et al., 2014). We groun...

Submit Manuscript | http://medcraveonline.com on updating assumed prior distributions with observed data likelihood. Much of this disconnect may be a function of differing goals; Bayesian approaches are focused on reliable statistical models [8] rather than on assessing the degree to which their estimates are nationally representative or not. However, Bayesian approaches, which have been succes...

Abstract. Models for the predictions of monetary losses from floods mainly blend data deemed to represent a single flood type and region. Moreover, these approaches largely ignore indicators preparedness how predictors may vary between regions events, challenging transferability loss models. We use database 1812 German flood-affected households explore Bayesian multilevel models can estimate no...

Abstract Maternal mortality is one of the socio-economic problems and widely considered a serious indicator quality health. Ethiopia to be top six sub-Saharan countries with severe maternal mortality. The objective this study was investigate effects Demographic Socio-economic determinant factors in Ethiopia. Data from 2016 Health Survey indicated that sample women (15–49) (n = 10,103). Bayesian...

A set-based approach to collaborative design is presented, in which Bayesian networks are used to represent promising regions of the design space. In collaborative design exploration, complex multilevel design problems are often decomposed into distributed subproblems that are linked by shared or coupled parameters. Collaborating designers often prefer conflicting values for these coupled param...