This note points some ambiguities in the notation adopted in “Frequentistic approximations to Bayesian prevision of exchangeable random elements” [Int. J. Approx. Reason. 78 (2016) 138–152] and provides the correct way to read those statements and proofs which are affected by the aforesaid ambiguities
The Bayesian theorem was formulated in the 18th century and has been adopted as the theoretical basi...
textThe Bayesian approach has been developed in various areas and has come to be part of main stream...
The theory of random propositions is a theory of confirmation that contains the Bayesian and Shafer-...
Posterior and predictive distributions for m future trials, given the first n elements of an infinit...
Exchangeability of observations corresponds to a condition shared by the vast majority of applicatio...
The paper investigates exchangeability in the context of probability logic. We study generalizations...
We examine the difference between Bayesian and frequentist statistics in making statements about the...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
A predictive distribution over a sequence of N+1 events is said to be “frequency mimicking” whenever...
According to the Bayesian theory, observations are usually considered to be part of an infinite sequ...
O elemento central deste estudo é o problema de predição em seqüências de variáveis aleatórias binár...
We discuss our recent work on incorporating imprecision in the field of algorithmic randomness, base...
constitutes a class of computational methods rooted in Bayesian statistics. In all model-based stati...
Sets of desirable gambles constitute a quite general type of uncertainty model with an interesting g...
The Bayesian theorem was formulated in the 18th century and has been adopted as the theoretical basi...
textThe Bayesian approach has been developed in various areas and has come to be part of main stream...
The theory of random propositions is a theory of confirmation that contains the Bayesian and Shafer-...
Posterior and predictive distributions for m future trials, given the first n elements of an infinit...
Exchangeability of observations corresponds to a condition shared by the vast majority of applicatio...
The paper investigates exchangeability in the context of probability logic. We study generalizations...
We examine the difference between Bayesian and frequentist statistics in making statements about the...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
A predictive distribution over a sequence of N+1 events is said to be “frequency mimicking” whenever...
According to the Bayesian theory, observations are usually considered to be part of an infinite sequ...
O elemento central deste estudo é o problema de predição em seqüências de variáveis aleatórias binár...
We discuss our recent work on incorporating imprecision in the field of algorithmic randomness, base...
constitutes a class of computational methods rooted in Bayesian statistics. In all model-based stati...
Sets of desirable gambles constitute a quite general type of uncertainty model with an interesting g...
The Bayesian theorem was formulated in the 18th century and has been adopted as the theoretical basi...
textThe Bayesian approach has been developed in various areas and has come to be part of main stream...
The theory of random propositions is a theory of confirmation that contains the Bayesian and Shafer-...