June 2014
Beginner
448 pages
16h 23m
English
book
Introduction to Imprecise Probabilities
by Matthias C. M. Troffaes, Gert de Cooman, Frank P. A. Coolen, Thomas Augustin
Content preview from Introduction to Imprecise Probabilities
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Subject index
- 2-alternating capacity, see 2-monotone capacity
- 2-monotone capacity, seealso Choquet integral
- probability interval
- Γ-maximax
- computation
- Γ-maximin
- computation
- Γ-minimax
- α-cut
- ∞-monotone capacity, seealso Belief function
- simulation
- σ-additivity
- countable subadditivity
- σ-field
- ε-contamination model, seealso Linear-vacuous approximation
- computation
- generalized neighbourhood model
- k-additivity
- n-alternating capacity, see n-monotone capacity
- n-monotone capacity
- Acceptance sampling
- Accepting partial gain
- desirability
- Accepting sure gain
- desirability
- Accepting sure loss
- desirability
- Accuracy
- discounted
- set-accuracy
- single-accuracy
- Act
- Act-state independence
- Action, see Act
- Addition
- desirability
- Additive probability, seealso Linear prevision, seealso σ-additivity, 135
- ADEH-coherent risk measure, see Artzner, Delbaen, Eber and Heath
- Aleatory probabilities, see Frequentist interpretation, see Probability, aleatory
- A(n), seealso NPI
- Anonymization
- Approximation, seealso Computation
- Arbitrage
- Artificial intelligence
- Artzner, Delbaen, Eber and Heath
- Assessment, see Lower prevision, assessment, see Elicitation
- Assignment, see Elicitation
- Asymptotics
- Autocorrelation
- Avoiding partial loss
- desirability
- separate coherence
- Avoiding sure loss
- R-probability
- desirability
- lower prevision
- lower previsions and sets of desirable gambles avoiding partial loss
- natural extension
- probability interval
- Axiom of continuity
- Backward induction
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