Results 11 to 20 of about 1,992,313 (335)
Distributional inference [PDF]
Statistica Neerlandica, 1995 The making of statistical inferences in distributional form is conceptionally complicated because the epistemic 'probabilities' assigned are mixtures of fact and fiction.
Kroese, A.H. +3 more
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Neural Computation, 2021 Active inference offers a first principle account of sentient behavior, from which special and important cases—for example, reinforcement learning, active learning, Bayes optimal inference, Bayes optimal design—can be derived. Active inference finesses the exploitation-exploration dilemma in relation to prior preferences by placing information gain on
Friston, K. +4 more
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Proceedings of the National Academy of Sciences, 2020 Significance Most statistical methods rely on certain mathematical conditions, known as regularity assumptions, to ensure their validity. Without these conditions, statistical quantities like P values and confidence intervals might not be valid.
Larry Wasserman +2 more
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, 2023 Patterns of microcircuitry suggest that the brain has an array of repeated canonical computational units. Yet neural representations are distributed, so the relevant computations may only be related indirectly to single-neuron transformations. It thus remains an open challenge how to define canonical distributed computations. We integrate normative and
Raju, Rajkumar Vasudeva +3 more
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Continuous Reproducibility in GNSS Signal Processing
IEEE Access, 2018 This paper discusses the reproducibility of scientific experiments in which global navigation satellite system (GNSS) signals play a role. After analyzing the factors that impact the reproducibility of an experiment in the given context, this paper ...
Carles Fernandez-Prades +3 more
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Entropy, 2023 Most studies modeling population mobility and the spread of infectious diseases, particularly those using meta-population multi-patch models, tend to focus on the theoretical properties and numerical simulation of such models.
Albert Orwa Akuno +2 more
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How do medical researchers make causal inferences? [PDF]
, 2019 Bradford Hill (1965) highlighted nine aspects of the complex evidential situation a medical researcher faces when determining whether a causal relation exists between a disease and various conditions associated with it.
Dammann, Olaf +2 more
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On the role of explanatory and systematic power in scientific reasoning [PDF]
, 2015 The paper investigates measures of explanatory power and how to define the inference schema “Inference to the Best Explanation”. It argues that these measures can also be used to quantify the systematic power of a hypothesis and the inference schema ...
Brössel, Peter
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One versus two doses: What is the best use of vaccine in an influenza pandemic?
Epidemics, 2015 Avian influenza A (H7N9), emerged in China in April 2013, sparking fears of a new, highly pathogenic, influenza pandemic. In addition, avian influenza A (H5N1) continues to circulate and remains a threat.
Laura Matrajt +3 more
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Detecting Confounding in Multivariate Linear Models via Spectral Analysis
Journal of Causal Inference, 2018 We study a model where one target variable Y$Y$ is correlated with a vector X:=(X1,…,Xd)$\textbf{X}:=(X_1,\dots,X_d)$ of predictor variables being potential causes of Y$Y$.
Janzing Dominik, Schölkopf Bernhard
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