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The workings of the maximum entropy principle in collective human behaviourMCMC implementation of the optimal Bayesian classifier for non-Gaussian models: model-based RNA-Seq classification.Bayesian inference from count data using discrete uniform priors.A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation.Evidence synthesis for count distributions based on heterogeneous and incomplete aggregated data.Maximum entropy and Bayesian data analysis: Entropic prior distributions.Combined SVM-CRFs for biological named entity recognition with maximal bidirectional squeezing.Comparison of two views of maximum entropy in biodiversity: Frank (2011) and Pueyo et al. (2007).Probability Elicitation Under Severe Time Pressure: A Rank-Based Method.Illusory Late Heavy BombardmentsCombining experiments and simulations using the maximum entropy principle.Bayesian analysis of transverse signal decay with application to human brainOpinion dynamics with confirmation biasIncorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations.Maximum-Entropy Inference with a Programmable AnnealerA computational theory of visual receptive fields.A simple derivation and classification of common probability distributions based on information symmetry and measurement scale.Network geometry inference using common neighbors.Scale invariance of incident size distributions in response to sizes of their causes.Prior information in spatial analysis.Entropy, complexity, and spatial information.A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems.Multiperiod Maximum Loss is time unit invariant.Colors of the Sublunar.Explaining Zipf's law via a mental lexicon.Relevant irrelevancies.Evaluation of the OECD QSAR Application Toolbox and Toxtree for estimating the mutagenicity of chemicals. Part 2. α-β unsaturated aliphatic aldehydes.Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors.Approximate Bayesian computationAn analysis of item response theory and Rasch models based on the most probable distribution method.A Bayesian approach to identifying and compensating for model misspecification in population models.Adaptive Heat Engine.Transformation of time-resolved spectra to lifetime-resolved spectra by maximum entropy inversion of the laplace transform.A probabilistic approach for estimating water permeability in pressure-driven membranes.Universal efficiency at optimal work with bayesian statistics.A practical solution to the pervasive problems of p values.Quantified naturalness from Bayesian statisticsPrincipal Information Theoretic ApproachesDefining optimal sampling effort for large-scale monitoring of invasive alien plants: a Bayesian method for estimating abundance and distributionInformation field theory for cosmological perturbation reconstruction and nonlinear signal analysis
P2860
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P2860
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в 1968
@uk
name
Prior Probabilities
@en
Prior Probabilities
@nl
type
label
Prior Probabilities
@en
Prior Probabilities
@nl
prefLabel
Prior Probabilities
@en
Prior Probabilities
@nl
P356
P1476
Prior Probabilities
@en
P2093
Edwin Jaynes
P304
P356
10.1109/TSSC.1968.300117
P577
1968-01-01T00:00:00Z