We show that conditional expectations, optimal hypotheses, disintegrations and adjoints of unital completely positive maps are all instances of Bayesian inverses. We study the existence of the latter by means of the Tomita-Takesaki modular group and we provide extensions of a theorem of Takesaki as well as a theorem of Accardi and Cecchini to the setting of not necessarily faithful states on finite-dimensional C-*-algebras
Let N ⊆ M be von Neumann algebras and E: M → N a faithful normal conditional expectation. In this wo...
In this paper, the concept of invariance, standard in measure theory, is extended to the conditional...
These lecture notes highlight the mathematical and computational structure relating to the formulati...
We show that conditional expectations, optimal hypotheses, disintegrations and adjoints of unital co...
The process of inverting Markov kernels relates to the important subject of Bayesian modelling and l...
The process of inverting Markov kernels relates to the important subject of Bayesian modelling and l...
International audienceThe process of inverting Markov kernels relates to the important subject of Ba...
Let ([Omega], F, P) be a probability space, let H be a sub-[sigma]-algebra of F, and let Y be positi...
A group is often construed as a single agent with its own probabilistic beliefs (credences), which a...
Linear spaces consisting of σ-finite probability measures and infinite measures (improper priors and l...
We introduce a graphical framework for Bayesian inference that is sufficiently general to accommodat...
AbstractLet (Ω, F, P) be a probability space, let H be a sub-σ-algebra of F, and let Y be positive a...
Let N subset of M be a unital inclusion of arbitrary von Neumann algebras. We give a 2-C*- categoric...
AbstractRepresentations of Banach–Lie groups are realized on Hilbert spaces formed by sections of ho...
Stochastic matrices and positive maps in matrix algebras have proved to be very important tools for...
Let N ⊆ M be von Neumann algebras and E: M → N a faithful normal conditional expectation. In this wo...
In this paper, the concept of invariance, standard in measure theory, is extended to the conditional...
These lecture notes highlight the mathematical and computational structure relating to the formulati...
We show that conditional expectations, optimal hypotheses, disintegrations and adjoints of unital co...
The process of inverting Markov kernels relates to the important subject of Bayesian modelling and l...
The process of inverting Markov kernels relates to the important subject of Bayesian modelling and l...
International audienceThe process of inverting Markov kernels relates to the important subject of Ba...
Let ([Omega], F, P) be a probability space, let H be a sub-[sigma]-algebra of F, and let Y be positi...
A group is often construed as a single agent with its own probabilistic beliefs (credences), which a...
Linear spaces consisting of σ-finite probability measures and infinite measures (improper priors and l...
We introduce a graphical framework for Bayesian inference that is sufficiently general to accommodat...
AbstractLet (Ω, F, P) be a probability space, let H be a sub-σ-algebra of F, and let Y be positive a...
Let N subset of M be a unital inclusion of arbitrary von Neumann algebras. We give a 2-C*- categoric...
AbstractRepresentations of Banach–Lie groups are realized on Hilbert spaces formed by sections of ho...
Stochastic matrices and positive maps in matrix algebras have proved to be very important tools for...
Let N ⊆ M be von Neumann algebras and E: M → N a faithful normal conditional expectation. In this wo...
In this paper, the concept of invariance, standard in measure theory, is extended to the conditional...
These lecture notes highlight the mathematical and computational structure relating to the formulati...