Results 21 to 30 of about 33,963 (308)
Preparation uncertainty implies measurement uncertainty in a class of generalized probabilistic theories [PDF]
Journal of Mathematical Physics, 2020 In quantum theory, it is known for a pair of noncommutative observables that there is no state on which they take simultaneously definite values and that there is no joint measurement of them. They are called preparation uncertainty and measurement uncertainty, respectively, and research has unveiled that they are not independent from but related with ...
Ryo Takakura, Takayuki Miyadera
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Measure Transformer Semantics for Bayesian Machine Learning [PDF]
Logical Methods in Computer Science, 2013 The Bayesian approach to machine learning amounts to computing posterior distributions of random variables from a probabilistic model of how the variables are related (that is, a prior distribution) and a set of observations of variables.
Johannes Borgström +4 more
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Conducting Causal Analysis by Means of Approximating Probabilistic Truths
Entropy, 2022 The current paper develops a probabilistic theory of causation using measure-theoretical concepts and suggests practical routines for conducting causal inference. The theory is applicable to both linear and high-dimensional nonlinear models.
Bo Pieter Johannes Andrée
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Performance analysis of probabilistic timed automata using digital clocks [PDF]
, 2006 Probabilistic timed automata, a variant of timed automata extended with discrete probability distributions, is a modelling formalism suitable for describing formally both nondeterministic and probabilistic aspects of real-time systems, and is amenable to
Kwiatkowska, M. +3 more
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Physical Review A, 2023 Generalized probabilistic theories (GPTs) provide a framework in which a range of possible theories can be examined, including classical theory, quantum theory and those beyond. In general, enlarging the state space of a GPT leads to fewer possible measurements because the additional states give stronger constraints on the set of effects, the ...
Giorgos Eftaxias +2 more
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Probabilistic study of a dynamical system [PDF]
, 2000 This paper investigates the relation between a branching process and a non-linear dynamical system in C2. This idea has previously been fruitful in many investigations, including that of the FKPP equation by McKean, Neveu, Bramson, and others.
Warren, Jon, Williams, D.
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A New Correlation Measure for Belief Functions and Their Application in Data Fusion
Entropy, 2023 Measuring the correlation between belief functions is an important issue in Dempster–Shafer theory. From the perspective of uncertainty, analyzing the correlation may provide a more comprehensive reference for uncertain information processing.
Zhuo Zhang +3 more
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Typical Local Measurements in Generalized Probabilistic Theories: Emergence of Quantum Bipartite Correlations [PDF]
Physical Review Letters, 2013 5 pages, 1 figure v2: more details in the proof of the main ...
Kleinmann, Matthias +3 more
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Irrelevant Conjunction and the Ratio Measure or Historical Skepticism [PDF]
, 2011 It is widely believed that one should not become more confident that _all swans are white and all lions are brave_ simply by observing white swans. Irrelevant conjunction or "tacking" of a theory onto another is often thought problematic for Bayesianism,
Pitts, J. Brian, J. Brian Pitts
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A fuzzy disaggregation technique
Statistica, 2013 The aim of this paper is to analyze a problem of time series disaggregation in presence of broad information lack. In this framework it is not possible to follow standard methodologies, like those stemming from the Chow and Lin algorithm and based on ...
Alessandro Polli
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