منابع مشابه
Robust probability updating
This paper discusses an alternative to conditioning that may be used when the prob-ability distribution is not fully specified. It does not require any assumptions (suchas CAR: coarsening at random) on the unknown distribution. The well-known MontyHall problem is the simplest scenario where neither naive conditioning nor the CARassumption suffice to determine an updated probabil...
متن کاملWorst-case Optimal Probability Updating
This paper discusses an alternative to conditioning that may be used when the prob-ability distribution is not fully specified. It does not require any assumptions (suchas CAR: coarsening at random) on the unknown distribution. The well-known MontyHall problem is the simplest scenario where neither naive conditioning nor the CARassumption suffice to determine an updated probabil...
متن کاملSequential Updating Conditional Probability in Bayesian Networks by Posterior Probability
The Bayesian network is a powerful knowledge representation formalism; it is also capable of improving its precision through experience. Spiegelhalter et al. [1989] proposed a procedure for sequential updating forward conditional probabilities (FCP) in Bayesian networks of diameter 1 with a single parent node. The procedure assumes certainty for each diagnosis which is not practical for many ap...
متن کاملEntropic Updating of Probability and Density Matrices
We find that the standard relative entropy and the Umegaki entropy are designed for the 1 purpose of inferentially updating probability and density matrices respectively. From the same set of 2 inferentially guided design criteria, both of the previously stated entropies are derived in parallel. 3 This formulates a quantum maximum entropy method for the purpose of inferring density matrices 4 i...
متن کاملSubjective probability, confidence, and Bayesian updating
I derive a unique subjective probabilistic belief p and Bayesian updating for this belief from ambiguity averse preferences. To do so, I assume an exogenous information set ∆ of possible probabilistic scenarios on the state space S. Every uncertain prospect f is evaluated via a mixture of the unique subjective belief p with the least favorable scenario for f in the set ∆. The weight of p in thi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2016
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2016.03.001