Results 11 to 20 of about 66,452 (307)
A conditional fuzzy inference approach in forecasting [PDF]
European Journal of Operational Research, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arman Hassanniakalager +2 more
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elrm: Software Implementing Exact-Like Inference for Logistic Regression Models
Journal of Statistical Software, 2007 Exact inference is based on the conditional distribution of the sufficient statistics for the parameters of interest given the observed values for the remaining sufficient statistics.
David Zamar, Brad McNeney, Jinko Graham
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Position Fixing and Uncertainty [PDF]
TransNav, 2023 Taken random observations are usually accompanied by rectified knowledge regarding their behaviour. In modern computer applications, raw data sets are usually exploited at learning phase.
Wlodzimierz Filipowicz
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Conditional as-if analyses in randomized experiments
Journal of Causal Inference, 2021 The injunction to “analyze the way you randomize” is well known to statisticians since Fisher advocated for randomization as the basis of inference. Yet even those convinced by the merits of randomization-based inference seldom follow this injunction to ...
Pashley Nicole E. +2 more
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Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Conditional knowledge bases consisting of qualitative conditionals play a predominant role in knowledge representation and reasoning. In this paper, we develop a full map of all consistent conditional knowledge bases over a small signature in different ...
Christoph Beierle +2 more
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Conditionals, Infeasible Worlds, and Reasoning with System W
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 The recently introduced notion of an inductive inference operator captures the process of completing a given conditional belief base to an inference relation.
Jonas Haldimann +3 more
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Conditional Probability and Defeasible Inference [PDF]
Journal of Philosophical Logic, 2005 We offer a probabilistic model of rational consequence relations (Lehmann and Magidor, 1990) by appealing to the extension of the classical Ramsey–Adams test proposed by Vann McGee in (McGee, 1994). Previous and influential models of non-monotonic consequence relations have been produced in terms of the dynamics of expectations (Gärdenfors and Makinson,
Horacio L. Arló-Costa, Rohit Parikh
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How Should We Quantify Uncertainty in Statistical Inference?
Frontiers in Ecology and Evolution, 2020 An inferential statement is any statement about the parameters, form of the underlying process or future outcomes. An inferential statement, that provides an approximation to the truth, becomes “statistical” only when there is a measure of uncertainty ...
Subhash R. Lele
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Observational Equivalence of Conditional Belief Bases
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 In nonmonotonic reasoning, a conditional of the form ‘If A then usually B’ is typically accepted if a situation where both A and B hold is deemed to be more plausible, more probable, or less surprising, etc., than a situation where A holds, but B does ...
Christoph Beierle +2 more
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Conditional Inference under Disjunctive Rationality [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 The question of conditional inference, i.e., of which conditional sentences of the form ``if A then, normally, B'' should follow from a set KB of such sentences, has been one of the classic questions of AI, with several well-known solutions proposed. Perhaps the most notable is the rational closure construction of Lehmann and Magidor, under which the ...
Booth, Richard, Varzinczak, Ivan
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