Hitting Times and Probabilities for Imprecise Markov Chains [PDF]
, 2019 We consider the problem of characterising expected hitting times and hitting probabilities for imprecise Markov chains. To this end, we consider three distinct ways in which imprecise Markov chains have been defined in the literature: as sets of ...
De Bock, Jasper +2 more
core +2 more sources
Neural correlates of decision-making under ambiguity and conflict
Frontiers in Behavioral Neuroscience, 2015 Studies of decision making under uncertainty generally focus on imprecise information about outcome probabilities (ambiguity). It is not clear, however, whether conflicting information about outcome probabilities affects decision making in the same ...
Helen ePushkarskaya +4 more
doaj +1 more source
Maximin and maximal solutions for linear programming problems with possibilistic uncertainty [PDF]
, 2012 We consider linear programming problems with uncertain constraint coefficients described by intervals or, more generally, possi-bility distributions. The uncertainty is given a behavioral interpretation using coherent lower previsions from the theory of ...
A. Ben-Tal +7 more
core +2 more sources
Protecting oil storage tanks against floods: Natech risk assessment with imprecise probabilities
Canadian Journal of Chemical EngineeringNatechs are technological accidents that are triggered by natural disasters. The increase in the frequency and severity of climatic natural disasters along with the growth of industrialization has accelerated the demand for development of dedicated ...
Alireza Dehghanisanij +3 more
semanticscholar +1 more source
Combining Binary Classifiers with Imprecise Probabilities [PDF]
, 2011 This paper proposes a simple framework to combine binary classifiers whose outputs are imprecise probabilities (or are transformed into some imprecise probabilities, e.g., by using confidence intervals). This combination comes down to solve linear programs describing constraints over events (here, subsets of classes).
Destercke, Sébastien, Quost, Benjamin
openaire +3 more sources
Imprecise probability for non-commuting observables
New Journal of Physics, 2015 It is known that non-commuting observables in quantum mechanics do not have joint probability. This statement refers to the precise (additive) probability model.
Armen E Allahverdyan
doaj +1 more source
Failure Probability Analysis of Coherent Systems using Intuitionistic Fuzzy Fault Tree Approach [PDF]
International Journal of Mathematical, Engineering and Management SciencesIn scenarios where system component failure probabilities are insufficient or imprecise, classical fault tree analysis methods often fail in providing precise assessments of system reliability and safety.
Mintu Kumar +2 more
doaj +1 more source
Precise or Imprecise Probabilities? Evidence from Survey Response on Late-Onset Dementia
, 2019 We elicit numerical expectations for late-onset dementia in the Health and Retirement Study. Our elicitation distinguishes between precise and imprecise probabilities, while accounting for rounding of reports.
Pamela Giustinelli +2 more
semanticscholar +1 more source
Monte Carlo Estimation for Imprecise Probabilities: Basic Properties [PDF]
, 2019 We describe Monte Carlo methods for estimating lower envelopes of expectations of real random variables. We prove that the estimation bias is negative and that its absolute value shrinks with increasing sample size. We discuss fairly practical techniques
De Bock, Jasper +2 more
core +2 more sources
Empirical interpretation of imprecise probabilities [PDF]
, 2017 This paper investigates the possibility of a frequentist interpretation of imprecise probabilities, by generalizing the approach of Bernoulli’s Ars Conjectandi.
Cattaneo, Marco
core