✦ LIBER ✦

BAYESIAN DATA ANALYSIS.

✍ Scribed by NICKY BEST

Publisher: John Wiley and Sons
Year: 1996
Tongue: English
Weight: 204 KB
Volume: 15
Category: Article
ISSN: 0277-6715
DOI: 10.1002/(sici)1097-0258(19961015)15:19<2123::aid-sim364>3.0.co;2-k

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Box–Cox transformations in Bayesian anal

Box–Cox transformations in Bayesian analysis of compositional data

✍ Malini Iyengar; Dipak K. Dey 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 223 KB 👁 2 views

Compositional data often result when raw data are normalized or when data is obtained as proportions of a certain heterogeneous quantity. These conditions are fairly common in geology, economics and biology. The result is, therefore, a vector of such observations per specimen. The usual multivariate

Hierarchical Bayesian Analysis of Correl

Hierarchical Bayesian Analysis of Correlated Zero-inflated Count Data

✍ Getachew A. Dagne 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 120 KB 👁 2 views

## Abstract This article presents two‐component hierarchical Bayesian models which incorporate both overdispersion and excess zeros. The components may be resultants of some intervention (treatment) that changes the rare event generating process. The models are also expanded to take into account an

Interim analysis of failure time data —

Interim analysis of failure time data — A Bayesian approach

✍ Alfred A. Bartolucci; Charles R. Katholi; Robert Birch 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 580 KB

Conjunction analysis and propositional l

Conjunction analysis and propositional logic in fMRI data analysis using Bayesian statistics

✍ Thomas Rudert; Gabriele Lohmann 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 243 KB

## Abstract ## Purpose To evaluate logical expressions over different effects in data analyses using the general linear model (GLM) and to evaluate logical expressions over different posterior probability maps (PPMs). ## Materials and Methods In functional magnetic resonance imaging (fMRI) data

Bayesian inverse analysis of neuromagnet

Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles

✍ Toni Auranen; Aapo Nummenmaa; Matti S. Hämäläinen; Iiro P. Jääskeläinen; Jouko L 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 958 KB

## Abstract A recently introduced Bayesian model for magnetoencephalographic (MEG) data consistently localized multiple simulated dipoles with the help of marginalization of spatiotemporal background noise covariance structure in the analysis [Jun et al., (2005): Neuroimage 28:84–98]. Here, we elab

Introduction to Bayesian Statistics (Bol

Introduction to Bayesian Statistics (Bolstad/Bayesian Statistics) || Scientific Data Gathering

✍ Bolstad, William M. 📂 Article 📅 2005 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 125 KB 👁 1 views

Scientific Data Gathering -- Displaying And Summarizing Data -- Logic, Probability, And Uncertainty -- Discrete Random Variables -- Bayesian Inference For Discrete Random Variables -- Continuous Random Variables -- Bayesian Inference For Binomial Proportion -- Comparing Bayesian And Frequentist Infe