Results 241 to 250 of about 1,626 (283)
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Econometrica, 1985
The widespread use of prior information in formulating, estimating, and using econometric models is reviewed. Attempts to avoid the use of prior information by formulating multivariate statistical VAR and ARMA time series models for economic time series data have resulted in heavily over-parametrized models.
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The widespread use of prior information in formulating, estimating, and using econometric models is reviewed. Attempts to avoid the use of prior information by formulating multivariate statistical VAR and ARMA time series models for economic time series data have resulted in heavily over-parametrized models.
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2020
Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties,
Bernardi Mauro +2 more
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Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties,
Bernardi Mauro +2 more
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Econometrica, 1991
Summary: The subject of this paper is the decentralization of decision making when agents have information which is incomplete and possibly exclusive. The first theorem states that in economic environments with three or more individuals, there exists a mechanism whose Bayesian equilibria coincide with a desired collection of social choice functions if ...
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Summary: The subject of this paper is the decentralization of decision making when agents have information which is incomplete and possibly exclusive. The first theorem states that in economic environments with three or more individuals, there exists a mechanism whose Bayesian equilibria coincide with a desired collection of social choice functions if ...
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NEJM Evidence, 2023
Bayesian WayThis animated video explores two possible approaches to analyzing data in a randomized controlled trial: "Frequentist" versus "Bayesian."
C Corey, Hardin +6 more
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Bayesian WayThis animated video explores two possible approaches to analyzing data in a randomized controlled trial: "Frequentist" versus "Bayesian."
C Corey, Hardin +6 more
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Bayesianism vs. Frequentism in Statistical Inference
, 2017 Bayesianism and frequentism are the two grand schools of statistical inference, divided by fundamentally different philosophical assumptions and mathematical methods.
Jan Michael Sprenger
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IEEE Transactions on Neural Networks, 2007
In this paper, we modify the fuzzy ARTMAP (FA) neural network (NN) using the Bayesian framework in order to improve its classification accuracy while simultaneously reduce its category proliferation. The proposed algorithm, called Bayesian ARTMAP (BA), preserves the FA advantages and also enhances its performance by the following: (1) representing a ...
Boaz Vigdor, Boaz Lerner
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In this paper, we modify the fuzzy ARTMAP (FA) neural network (NN) using the Bayesian framework in order to improve its classification accuracy while simultaneously reduce its category proliferation. The proposed algorithm, called Bayesian ARTMAP (BA), preserves the FA advantages and also enhances its performance by the following: (1) representing a ...
Boaz Vigdor, Boaz Lerner
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On the Bayesian Stability in the Empirical Bayesian Approach
Journal of Mathematical Sciences, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Academy of Management Proceedings, 2007
This paper presents a reconciliation of the three distinct ways in which the economic literature has defined overconfidence: (1) overestimation of one's actual performance, (2) overestimation of one's performance relative to others, and (3) overestimation of the quality of one's private signals.
Paul J. Healy, Don A. Moore
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This paper presents a reconciliation of the three distinct ways in which the economic literature has defined overconfidence: (1) overestimation of one's actual performance, (2) overestimation of one's performance relative to others, and (3) overestimation of the quality of one's private signals.
Paul J. Healy, Don A. Moore
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Objective Bayesianism, Bayesian conditionalisation and voluntarism
Synthese, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2012
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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