Add to ORKGThe problem of evaluating econometric models is here viewed as a par-ticular case of a general class of problems called decision problems. Since the authors are attracted to a particular approach to decision problems, the Bayesian approach, we have written this paper in order to see what light ca
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
A new book in the Econometric Exercises series, this volume contains questions and answers to provid...
Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoret...
The decision-theoretic approach to statistics and econometrics explicitly specifies a set of models ...
Bayesian decision analysis supports principled decision making in complex domains. This textbook tak...
Models are the venue for much of the work of the economics profession. We use them to express, compa...
Contemporary Bayesian forecasting methods draw on foundations in subjective probability and preferen...
<p>We give here a comparison of the expected outcome theory, the expected utility theory, and the Ba...
This paper considers parametric statistical decision problems conducted within a Bayesian nonparamet...
Decision theory as the name would imply is concerned with the process of making decisions. The exten...
Recent advances in simulation methods have made possible the systematic application of Bayesian meth...
This chapter focuses on Bayesian methods and illustrates both the intrinsic unity of Bayesian thinki...
A textbook and guide to conducting Bayesian decision analysis of sometimes very complex policies and...
Management is nowadays a basic vector of economic development, a concept frequently used in our coun...
This book is an introduction to the mathematical analysis of Bayesian decision-making when the state...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
A new book in the Econometric Exercises series, this volume contains questions and answers to provid...
Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoret...
The decision-theoretic approach to statistics and econometrics explicitly specifies a set of models ...
Bayesian decision analysis supports principled decision making in complex domains. This textbook tak...
Models are the venue for much of the work of the economics profession. We use them to express, compa...
Contemporary Bayesian forecasting methods draw on foundations in subjective probability and preferen...
<p>We give here a comparison of the expected outcome theory, the expected utility theory, and the Ba...
This paper considers parametric statistical decision problems conducted within a Bayesian nonparamet...
Decision theory as the name would imply is concerned with the process of making decisions. The exten...
Recent advances in simulation methods have made possible the systematic application of Bayesian meth...
This chapter focuses on Bayesian methods and illustrates both the intrinsic unity of Bayesian thinki...
A textbook and guide to conducting Bayesian decision analysis of sometimes very complex policies and...
Management is nowadays a basic vector of economic development, a concept frequently used in our coun...
This book is an introduction to the mathematical analysis of Bayesian decision-making when the state...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
A new book in the Econometric Exercises series, this volume contains questions and answers to provid...
Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoret...