International Conference on Machine Learning · 2010 · 29 citations · 12 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesBayesian InferenceBayesian StatisticsContinuous-time Stochastic ProcessesMarkov ProcessesStochastic Differential EquationsStochastic Systems ModelingBayesian NetworksBelief NetworksBelief PropagationContinuous-time Markov ProcessesContinuous-time ModelsOrdinary Differential Equation SolversOrdinary Differential Equation SystemsVariational Bayesian Inference
This brief article is based on a patient's experience the author witnessed as a medical oncology scribe. The article describes five visits with a cancer patient named Diane as she started chemotherapy. Mere months since Diane's first visit, she died. The doctor read a slip of paper on her desk and told the author with tears in her eyes. The author turned over the visits she had with Diane, trying to find solace in the comfort she had in the end. It had all gone so fast, though. Four visits and she was gone. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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William H. Press, Saul A. Teukolsky, William T. Vetterling et al. · 1994 · 15.4K citations
Expectation Propagation for approximate Bayesian inference
Thomas P. Minka · arXiv (Cornell University) · 2013 · 1.5K citations · Full text