Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling Peter Hooper Yasin Abbasi-Yadkori, Russ Greiner, Bret Hoehn Dept of Mathematical & Statistical Sciences

Source URL: webdocs.cs.ualberta.ca

• Probability distributions
• Estimation theory
• Econometrics
• Statistical theory
• Summary statistics
• Normal distribution
• Bayesian network
• Beta distribution
• Mode
• Linear regression
• Delta method
• Gamma distribution

Ann Inst Stat Math:963–997 DOIs10463On consistency and optimality of Bayesian variable selection based on g-prior in normal linear regression models

Source URL: www.ism.ac.jp

A stochastic rank ordered logit model for rating multi-competitor games and sports Mark E. Glickman∗ Jonathan Hennessy

Source URL: www.glicko.net

• Statistics
• Statistical theory
• Statistical models
• Bayesian statistics
• Regression analysis
• Estimation theory
• Cluster analysis
• Mixture model
• Generalized linear model
• Logit
• Bayesian inference
• Logistic regression

PDF Document

Source URL: www.abirisk.eu

• Statistics
• Statistical theory
• Model selection
• Linear regression
• Bayesian information criterion
• Akaike information criterion
• QQ plot
• Bootstrapping
• Normal distribution
• Confounding

MEASURES OF THE LIBERAL POLICIES IN AGRICULTURE

Source URL: www.projects.its.czu.cz

• Simple linear regression
• Bayesian linear regression
• Explained variation
• Partial least squares regression
• Ordinary least squares
• Multiple correlation
• Errors and residuals in statistics
• Multicollinearity
• Least squares
• Statistics
• Regression analysis
• Linear regression

A New Methodology for Modelling Stochastically the Time to Capsize Qi Chen, Andrzej Jasionowski, The Ship Stability Research Centre, Department of Naval Architecture and Mari

Source URL: floodstand.aalto.fi

• Statistical theory
• Statistical models
• Bayesian inference
• Capsizing
• Markov chain
• Normal distribution
• Generalized linear model
• Bayesian linear regression
• Probit
• Statistics
• Bayesian statistics
• Regression analysis

Personalized Cardiorespiratory Fitness and Energy Expenditure Estimation Using Hierarchical Bayesian Models Marco Altinia , Pierluigi Casaleb , Julien Pendersb , Oliver Amftc a +Eindh

Source URL: www.marcoaltini.com

• Graphical models
• Statistical inference
• Bayesian statistics
• Linear regression
• Estimation theory
• Heart rate monitor
• Hierarchical Bayes model
• Economic model
• Statistics
• Econometrics
• Regression analysis

Evaluation of a New Variance Component Estimation Method Hierarchical GLM Approach with Application in QTL Analysis Author:

Source URL: www.statistics.du.se

• Data analysis
• Bayesian statistics
• Statistical theory
• Generalized linear model
• Maximum likelihood
• Expectation–maximization algorithm
• Normal distribution
• Mixed model
• Restricted maximum likelihood
• Statistics
• Estimation theory
• Regression analysis

COURSE FLYER Introduction to Linear Mixed Effects Models and GLMM with R Bayesian and frequentist approaches Provided by: Highland Statistics Ltd

Source URL: www.highstat.com

• Actuarial science
• Statistical methods
• Analysis of variance
• Generalized linear model
• Count data
• Mixed model
• Linear regression
• Generalized linear mixed model
• ADMB
• Statistics
• Regression analysis
• Econometrics

POISSON DYNAMIC MODELS. AN APPLICATION TO INTERURBAN ACCIDENTS IN SPAIN Camino González Fernández, ETSII-UPM, Spain () Jose Mira McWilliams, INSIA-UPM, Spain Blanca Arenas Ramírez* INSIA-UPM, Spain

Source URL: tra2014.traconference.eu

• Actuarial science
• Categorical data
• Poisson regression
• Bayesian linear regression
• Statistics
• Econometrics
• Regression analysis