Portfolio construction with Bayesian GARCH forecasts Wolfgang Polasek and Momtchil Pojarliev Institute of Statistics and Econometrics University of Basel

Source URL: www.istfin.eco.usi.ch

University of Vienna Vienna Graduate School of Economics Empirical Macroeconomics: Models and Methods Spring Semester 2013 Thomas A. Lubik

Source URL: www.vgse.at

• Economics
• Statistics
• Statistical theory
• Dynamic stochastic general equilibrium
• Econometrics
• Bayesian statistics
• Bayesian vector autoregression
• Macroeconomic model
• Bayesian inference
• Bayesian
• Prior probability
• Vector autoregression

RCEA Bayesian Econometrics WorkshopConditional forecasting with BVAR model for Russia the role of oil prices and economic sanctions

Source URL: www.forecast.ru

• Frequency modulation
• Vector autoregression

Global estimation of child mortality using a Bayesian B-spline Bias-reduction model Leontine Alkema and Jin Rou New

Source URL: www.childmortality.org

• Statistics
• Interpolation
• Econometrics
• Actuarial science
• Science
• Population
• Spline
• Linear regression
• B-spline
• Regression analysis
• Demographic and Health Surveys
• Demography

Genome Informatics 15(2): 121–Inference of Gene Regulatory Networks by Means of Dynamic Differential Bayesian Networks and

Source URL: www.jsbi.org

• Statistics
• Econometrics
• Statistical models
• Statistical theory
• Estimation theory
• Regression analysis
• Parametric model
• Linear regression
• Bayesian network

6090 JOURNAL OF CLIMATE VOLUME 23

Source URL: myweb.fsu.edu

• Statistics
• Statistical theory
• Regression analysis
• Bayesian statistics
• Statistical models
• Econometrics
• Actuarial science
• Linear regression
• Generalized linear model
• Probability distribution
• Posterior probability
• Prior probability

Model-Based Inference About IR Systems Ben Carterette Dept. of Computer & Info Sciences, University of Delaware, Newark, DE, USA Abstract. Researchers and developers of IR systems generally want to

Source URL: ir.cis.udel.edu

• Statistical inference
• Econometrics
• Statistical theory
• Psychometrics
• Statistical models
• Bayesian inference
• Bayesian network
• Normal distribution
• Statistical hypothesis testing
• Linear regression
• Regression analysis
• Bootstrapping

Learning stable, regularised latent models of neural population dynamics Lars Buesing, Jakob H. Macke and Maneesh Sahani Gatsby Computational Neuroscience Unit University College London, UK 17 Queen Square, London, WC1N

Source URL: www.mackelab.org

• Estimation theory
• Regression analysis
• Statistical models
• Bayesian statistics
• Econometrics
• Maximum likelihood estimation
• Expectationmaximization algorithm
• Variational Bayesian methods
• Linear regression
• Autoregressive model
• Variance function
• Mixture model

Multinomial Process 1 Running head: MULTINOMIAL PROCESS MODELS Multinomial Process Tree Models of Control and Automaticity in Weapon Misidentification

Source URL: bisharaa.people.cofc.edu

• Model selection
• Statistical models
• Actuarial science
• Econometrics
• Psychophysics
• Stroop effect
• Bayesian information criterion
• Dual process theory
• Economic model
• Akaike information criterion
• Attention
• Mathematical model

A method to account for and estimate underreporting in crash frequency research

Source URL: cfariss.com

• Statistical models
• Regression analysis
• Econometrics
• Probability distributions
• Generalized linear models
• Overdispersion
• Poisson regression
• Logistic regression
• Binomial regression
• Negative binomial distribution
• Bayesian network
• Discrete choice