In probability theory, de Finetti's theorem states that exchangeable observations are conditionally independent relative to some latent variable. An epistemic...

are called coherent. De Finetti is also noted for de Finetti's theorem on exchangeable sequences of random variables. De Finetti was not the first to...

are justified by the Dutch book argument or by decision theory and de Finetti's theorem. The objective and subjective variants of Bayesian probability differ...

given the underlying distributional form. This theorem is stated briefly below. (De Finetti's original theorem only showed this to be true for random indicator...

distribution Regular conditional probability Disintegration theorem Bayes' theorem de Finetti's theorem Exchangeable random variables Rule of succession Conditional...

include: de Finetti's theorem, which explains why exchangeable observations are conditionally independent given some (usually) unobservable quantity de Finetti...

Berry–Esséen theorem (probability theory) Cochran's theorem (statistics) Cox's theorem (probability) Cramér’s decomposition theorem (statistics) De Finetti's theorem...

included the analysis of martingale inequalities, Markov processes, de Finetti's theorem, consistency of Bayes estimators, sampling, the bootstrap, and procedures...

{\displaystyle \beta \left(\cdot ;\,\alpha ,\,\gamma \right)} . In De Finetti's theorem, if we replace π ( ⋅ ) {\displaystyle \pi (\cdot )} with β ( ⋅ ;...

complex features to enhance model accuracy. De Finetti's theorem Pairwise independent variables Central limit theorem Clauset, Aaron (2011). "A brief primer...

the study of ergodic systems, as well as in theorems of probability theory such as de Finetti's theorem and the Hewitt-Savage law. Let ( X , F ) {\displaystyle...

one has probability measures over probability measures (such as in de Finetti's theorem). Like many iterable constructions, it has the category-theoretic...

A de Finetti diagram is a ternary plot used in population genetics. It is named after the Italian statistician Bruno de Finetti (1906–1985) and is used...

{\displaystyle C.} Conditional independence – Probability theory concept de Finetti's theorem – Conditional independence of exchangeable observations Conditional...

index Davis distribution De Finetti's game De Finetti's theorem DeFries–Fulker regression de Moivre's law De Moivre–Laplace theorem Decision boundary Decision...

Stanford University in 1981. In his doctoral thesis, he studied de Finetti's theorem and its possible turn out in Markov chain.[clarification needed]...

repetitions they each have. Because of this exchangeability, de Finetti's representation theorem applies and it implies that the observations X 1 , X 2 ,...

thought experiment was first proposed by the Italian probabilist Bruno de Finetti in order to justify Bayesian probability,[citation needed] and was more...

category. A limit of particular significance for probability theory is de Finetti's theorem, which can be interpreted as the fact that the space of probability...

models with prior distributions over parameters and appealing to the de Finetti's theorem to justify that this produces valid operational subjective probabilities...

K\Rightarrow Y\perp \!\!\!\perp X\mid K} . Graphoid Conditional dependence de Finetti's theorem Conditional expectation To see that this is the case, one needs to...

R. (1976). "Locally normal symmetric states and an analogue of de Finetti's Theorem". Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete...

known as Savage's framework, Savage's axioms, or Savage's representation theorem) is a formalization of subjective expected utility (SEU) developed by Leonard...

process / (S:B) Boole's inequality / (FS:B) Borel–Cantelli lemma / (S:B) De Finetti's theorem / (S:B) Exchangeable random variables / (S:BR) Random walk / (FLS:BD)...

divisibility of probability distributions was introduced in 1929 by Bruno de Finetti. This type of decomposition of a distribution is used in probability and...

Erkenntnis. 31. de Finetti B (1937). "La Prévision: ses lois logiques, ses sources subjectives". Annales de l'Institut Henri Poincaré. de Finetti B (1964)....

probability have motivated technical work. A quantum version of the de Finetti theorem, introduced by Caves, Fuchs, and Schack (independently reproving a...

describing such behaviour are the law of large numbers and the central limit theorem. As a mathematical foundation for statistics, probability theory is essential...

the quasi-arithmetic mean or generalised f-mean or Kolmogorov-Nagumo-de Finetti mean is one generalisation of the more familiar means such as the arithmetic...

Prof. Stefan Mittnik "Bruno de Finetti and Mean-Variance Portfolio Selection Article by Mark Rubinstein on Bruno de Finetti's discovery and comments by...