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Search: subject:"Belief function"
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Belief Function
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1
Acting on belief functions
Smith, Nicholas J. J.
- In:
Theory and decision : an international journal for …
95
(
2023
)
4
,
pp. 575-621
Persistent link: https://www.econbiz.de/10014425584
Saved in:
2
Throwing Good Money After Bad
Ryan, Matthew
;
Vaithianathan, Rhema
;
Rigotti, Luca
-
2014
a set of priors, or a
belief
function
. A generalised form of Bayes Rule is used to update this set of priors using …
Persistent link: https://www.econbiz.de/10012624246
Saved in:
3
Financial Crisis, Taylor Rule and the Fed
Kumar, Saten
-
2014
We investigate how the Federal Reserve (Fed) hit the zero lower bound (ZLB) interest rate while operating under a Taylor-type policy rule. We estimate a reaction function and the results indicate that during the crisis Fed increased the weight on output without also increasing the weight on...
Persistent link: https://www.econbiz.de/10012624247
Saved in:
4
Financial Crisis, Taylor Rule and the Fed
Kumar, Saten
-
Faculty of Business, Auckland University of Technology
-
2014
We investigate how the Federal Reserve (Fed) hit the zero lower bound (ZLB) interest rate while operating under a Taylor-type policy rule. We estimate a reaction function and the results indicate that during the crisis Fed increased the weight on output without also increasing the weight on...
Persistent link: https://www.econbiz.de/10010902121
Saved in:
5
Throwing Good Money After Bad
Ryan, Matthew
;
Vaithianathan, Rhema
;
Rigotti, Luca
-
Faculty of Business, Auckland University of Technology
-
2014
set of priors, or a
belief
function
. A generalised form of BayesRule is used to update this set of priors using earnings …
Persistent link: https://www.econbiz.de/10010902126
Saved in:
6
Inference and decision for set identified parameters using posterior lower and upper probabilities
Kitagawa, Toru
-
2011
This paper develops inference and statistical decision for set-identified parameters from the robust Bayes perspective. When a model is set-identified, prior knowledge for model parameters is decomposed into two parts: the one that can be updated by data (revisable prior knowledge) and the one...
Persistent link: https://www.econbiz.de/10010288337
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