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Maximally selected chi-square statistics for at least ordinal scaled variables

Boulesteix, Anne-Laure - 2005

Monte Carlo (MCMC) algorithms. In addition to spatial effects, cluster effects are taken into consideration. Group and … effects two MCMC algorithms for parameter estimation are developed. The first one is based on a direct evaluation of the … mechanism, which is particularly useful for probit models. Simulation results show a satisfactory behavior of the MCMC …

Persistent link: https://www.econbiz.de/10010266198

A geoadditive Bayesian latent variable model for Poisson indicators

Fahrmeir, Ludwig; Steinert, Sven - 2006

We introduce a new latent variable model with count variable indicators, where usual linear parametric effects of covariates, nonparametric effects of continuous covariates and spatial effects on the continuous latent variables are modelled through a geoadditive predictor. Bayesian modelling of...

Persistent link: https://www.econbiz.de/10010266206

A Bayesian semiparametric latent variable model for mixed responses

Fahrmeir, Ludwig; Raach, Alexander - 2006

and Markov random field priors and is performed by computationally efficient Markov chain Monte Carlo (MCMC) methods. We …

Persistent link: https://www.econbiz.de/10010266226

A Bayesian Semiparametric Latent Variable Model for Mixed Responses

Fahrmeir, Ludwig; Raach, Alexander - In: Psychometrika 72 (2007) 3, pp. 327-346

Persistent link: https://www.econbiz.de/10005603082

Cloud computing adoption and determining factors in different industries: A case study of Thailand

Keesookpun, Chutipong; Mitomo, Hitoshi - 2012

The cloud computing model is a modern concept of computation that provides a number of benefits for its adopters. This online computing model has been widely used in the western world and accepted to have some business and economic impacts. This paper provides some basic knowledge about cloud...

Persistent link: https://www.econbiz.de/10010311924

Informational Content of Special Regressors in Heteroskedastic Binary Response Models

Chen, Songnian; Khan, Shakeeb; Tang, Xun - Department of Economics, University of Pennsylvania - 2013

We quantify the identifying power of special regressors in heteroskedastic binary regressions with median-independent or conditionally symmetric errors. We measure the identifying power using two criteria: the set of regressor values that help point identify coefficients in latent payoffs as in...

Persistent link: https://www.econbiz.de/10010822913

Assessing the predictive ability of a multilevel binary regression model

Van Oirbeek, R.; Lesaffre, E. - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 1966-1980

An adaptation of the Brier score and the concordance probability is proposed for the two-level and the three-level random intercept binary regression model. This results in 2 different Brier scores and 3 different C-indices for the two-level binary regression model and 4 different Brier scores...

Persistent link: https://www.econbiz.de/10010871442

Cloud computing adoption and determining factors in different industries: A case study of Thailand

Keesookpun, Chutipong; Mitomo, Hitoshi - International Telecommunications Society (ITS) - 2012

Persistent link: https://www.econbiz.de/10010956280

Nonparametric bootstrap tests of conditional independence in two-way contingency tables

Hui, Francis K.C.; Geenens, Gery - In: Journal of Multivariate Analysis 112 (2012) C, pp. 130-144

When analyzing a two-way contingency table, a preliminary question is often whether the categorical variables under study, say R and S, are independent or not. Suppose now that for each individual in the table, a continuous variable X is also known. It is then worth analyzing the table...

Persistent link: https://www.econbiz.de/10011041970

Una clasificación de modelos de regresión binaria asimétrica: el uso del BAYES-PUCP en una aplicación sobre la decisión del cultivo ilícito de hoja de coca

Bazán, Jorge Luis; Millones, Óscar - In: Revista Economía (2008) 62, pp. 17-32

In classical econometric binary regression models, the logistic regression model has been used associated to the logit symmetric link. The purpose of this paper is to present binary regression models with rather asymmetric links —not yet available as commercial software—, when this asymmetry...

Persistent link: https://www.econbiz.de/10008596667