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Incoming Resources
- Simplicity, inference and modeling, keeping it sophisticatedly simple, edited by Arnold Zellner, Hugo A. Keuzenkamp and Michael McAleer
- Bayesian optimization procedures for firms facing discrete product demand, economic Random utility models and industry equilibrium
- Simplicity, inference and modeling, keeping it sophisticatedly simple, edited by Arnold Zellner, Hugo A. Keuzenkamp and Michael McAleer
- Bayesian analysis in statistics and econometrics, essays in honor of Arnold Zellner, edited by Donald A. Berry, Kathryn M. Chaloner, and John K. Geweke
- Studies in Bayesian econometrics and statistics, in honor of Leonard J. Savage, edited by Stephen E. Fienberg and Arnold Zellner
- Macroeconomic forecasting using pooled international data
- To combine or not to combine?, issues of combining forecasts
- Bayesian solutions to a class of selection problems
- Bayesian inference and decision techniques, essays in honor of Bruno de Finetti, edited by Prem K. Goel, Arnold Zellner
- The structural econometric time series analysis approach, edited by Arnold Zellner and Franz C. Palm
- An introduction to Bayesian inference in econometrics
- Bayesian method of moments, instrumental variable (BMOM/IV) analysis of mean and regression models
- Bayesian analysis in econometrics
- Inequality constraints in the univariate GARCH model
- Models, prior information and Bayesian analysis
- Bayesian and non-Bayesian estimation using balanced loss equations
- Statistics, econometrics, and forecasting, Arnold Zellner
- Bayesian econometrics
- Bayesian analysis in econometrics and statistics, the Zellner view and papers, Arnold Zellner
- Basic issues in econometrics, Arnold Zellner
- Time series analysis, forecasting and modeling
- Gibbs sampler convergence criteria (GSC2)
- The finite sample properties of simultaneous equations' estimates and estimators, Bayesian and non-Bayesian approaches
- Comments on a replication study
- Production functions, cost functions and returns to scale functions, parametric and semi parametric approaches
- Bayesian analysis, model selection and prediction
- Past and recent results on maximal data information priors