Using probability trees to compute marginals with imprecise probabilities
From MaRDI portal
Publication:1347925
DOI10.1016/S0888-613X(01)00046-9zbMath1015.68206WikidataQ57551206 ScholiaQ57551206MaRDI QIDQ1347925
Publication date: 15 May 2002
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)
Related Items
Learning recursive probability trees from probabilistic potentials ⋮ Approximate algorithms for credal networks with binary variables ⋮ Graphical models for imprecise probabilities ⋮ Inference in credal networks: Branch-and-bound methods and the A/R+ algorithm ⋮ Approximations of One-dimensional Expected Utility Integral of Alternatives Described with Linearly-Interpolated p-Boxes ⋮ Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks ⋮ Efficient solutions to factored MDPs with imprecise transition probabilities ⋮ Eliciting dual interval probabilities from interval comparison matrices ⋮ Distribution network risk assessment using multicriteria fuzzy influence diagram ⋮ Decision-theoretic specification of credal networks: a unified language for uncertain modeling with sets of Bayesian networks ⋮ Anytime anyspace probabilistic inference ⋮ Ranking discrete outcome alternatives with partially quantified uncertainty ⋮ Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval ⋮ Computing probability intervals with simulated annealing and probability trees ⋮ Decision making with interval probabilities
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Some characterizations of lower probabilities and other monotone capacities through the use of Möbius inversion
- Exploiting case-based independence for approximating marginal probabilities
- Interval probability propagation
- Fuzzy sets as a basis for a theory of possibility
- Efficient inference in Bayes networks as a combinatorial optimization problem
- An overview of robust Bayesian analysis. (With discussion)
- Importance sampling in Bayesian networks using probability trees.
- Towards a unified theory of imprecise probability
- The theory of interval-probability as a unifying concept for uncertainty
- Measures of uncertainty in expert systems
- PROBABILITY INTERVALS: A TOOL FOR UNCERTAIN REASONING
- Removing partial inconsistency in valuation-based systems
- A Bounded Derivative Model for Prior Ignorance about a Real‐valued Parameter
- Upper and Lower Probabilities Induced by a Multivalued Mapping
- On Information and Sufficiency
- Robust Statistics