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4
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Basic elements and problems of probability theory
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3
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Probability Logic and Logical Probability
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3
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Maximum entropy density estimation and modeling geographic distributions of species
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2
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The formal definition of reference priors
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4
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Basic Types of Coarse-Graining
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10
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Constructive methods of invariant manifolds for kinetic problems
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1
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A logic for inductive probabilistic reasoning
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On principles of inductive inference ∗
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17
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System Identification, Approximation and Complexity
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1
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Uncertainty in prediction and in inference ∗
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Ockham Efficiency Theorem for Stochastic Empirical Methods
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2
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On the foundations of statistics: A frequentist approach
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4
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An Information Theoretic Approach to Machine Learning
– Robert Jenssen
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3
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Interpreting probability in causal models for cancer
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3
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When did Bayesian inference become “Bayesian"?
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8
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The Gibbs Paradox
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E1 Reconceiving Machine Learning E2 Aims and Background
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9
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On a supposed conceptual inadequacy of the Shannon information in quantum mechanics
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7
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Machine Learning Based on Attribute Interactions
– Aleks Jakulin
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