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Many Bayesian Confirmation Measures have been proposed so far. They are used to assess the degree to which an evidence (or premise) E supports or contradicts an hypothesis (or conclusion) H, making use of prior probability P(H), posterior probability P(H|E) and of probability of evidence P(E)....
Persistent link: https://www.econbiz.de/10014113022
This paper attempts to provide a decision-theoretic foundation for the measurement of economic tail risk, which is not … only closely related to utility theory but also relevant to statistical model uncertainty. The main result is that the only …
Persistent link: https://www.econbiz.de/10013034370
This paper presents an algorithmic approach to optimize the grocery shopping behaviour of consumers under specific circumstances: a highly restrictive budget and cognitive constraints. I develop a formal optimization model that accounts for the trade-off between dietary objectives and product...
Persistent link: https://www.econbiz.de/10013217399
Previous conjoint choice design construction procedures have produced a single design that is administered to all subjects. This paper proposes to construct a limited set of different designs. The designs are constructed in a Bayesian fashion, taking into account prior uncertainty about the...
Persistent link: https://www.econbiz.de/10014030791
In project appraisal under uncertainty, the economic reliability of a measure of financial efficiency depends on its strong NPV-consistency, meaning that the performance metric (i) supplies the same recommendation in accept-reject decisions as the NPV, (ii) ranks competing projects in the same...
Persistent link: https://www.econbiz.de/10012835679
The purpose of this study is to measured and analysed the relationship and correlations of the financial literacy, financial well-being, COVID-19 daily life influence, and individual’s monthly income toward the online shopping activities, which is measured through the estimated average monthly...
Persistent link: https://www.econbiz.de/10014351678
We consider inference in models defined by approximate moment conditions. We show that near-optimal confidence intervals (CIs) can be formed by taking a generalized method of moments (GMM) estimator, and adding and subtracting the standard error times a critical value that takes into account...
Persistent link: https://www.econbiz.de/10012892420
We consider inference in models defined by approximate moment conditions. We show that near-optimal confidence intervals (CIs) can be formed by taking a generalized method of moments (GMM) estimator, and adding and subtracting the standard error times a critical value that takes into account...
Persistent link: https://www.econbiz.de/10012895664
A challenge in enterprise risk measurement for diversified financial institutions is developing a coherent approach to …
Persistent link: https://www.econbiz.de/10011556126
Persistent link: https://www.econbiz.de/10012796660