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1993, Monographs on statistics and applied probability, ISBN 9780412034718, Volume 55., xii, 264
Book
2010, ISBN 0123748542, xiii, 339
This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental... 
Bayesian statistical decision theory | Modèles mathématiques | Ecology | Statistical methods | Mathematical models | Théorie de la décision bayésienne | Research | Écologie | Biology, life sciences
Book
Journal of Machine Learning Research, ISSN 1532-4435, 05/2013, Volume 14, pp. 1303 - 1347
We develop stochastic variational inference, a scalable algorithm for approximating posterior distributions. We develop this technique for a large class of... 
Bayesian nonparametrics | Topicmodels | Variational inference | Bayesian inference | Stochastic optimization | topicmodels | DISTRIBUTIONS | SAMPLING METHODS | MODEL | ALGORITHMS | variational inference | DIRICHLET | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | stochastic optimization
Journal Article
1995, Elgar reference collection., ISBN 185278668X, Volume 7, 2 v.
Book
2015, Monographs on statistics and applied probability, ISBN 1439869391, Volume 141, xxi, 174
Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to... 
Bayesian statistical decision theory | Medicine: General Issues | Statistical Theory & Methods | Statistics for the Biological Sciences | Epidemiology
Book
2017, ISBN 9781316642214
"Science is fundamentally about learning from data, and doing so in the presence of uncertainty. Uncertainty arises inevitably and avoidably in many guises. It... 
Bayesian statistical decision theory | Mathematical physics
Web Resource
2010, 1st ed., ISBN 0123748542
This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental... 
Bayesian statistical decision theory | Methode van Bayes | Ecologische aspecten | Ecology | Mathematical models
Web Resource
Foundations and Trends in Machine Learning, ISSN 1935-8237, 2016, Volume 9, Issue 2-3, pp. 119 - 247
Datasets are growing not just in size but in complexity, creating a demand for rich models and quantification of uncertainty. Bayesian methods are an excellent... 
Demand | Approximation | Computation | Mathematical analysis | Scaling | Mathematical models | Statistical inference | Bayesian analysis
Journal Article
2006, Statistics, textbooks and monographs, ISBN 1574446134, Volume 187, xviii, 280
Book
2004, Springer texts in statistics., ISBN 0387402721, xix, 442
Book
1984, Sage university papers. Quantitative applications in the social sciences, ISBN 0803923287, Volume 43, 80
Book
2014, ISBN 1118771214, xiv, 334
"Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation,... 
Bayesian statistical decision theory | MATHEMATICS | Bayesian Analysis | Social sciences | Probability & Statistics | SOCIAL SCIENCE | Statistical methods | Econometrics | Statistics | BUSINESS & ECONOMICS
Book
Journal of Machine Learning Research, ISSN 1532-4435, 01/2017, Volume 18, pp. 1 - 45
Probabilistic modeling is iterative. A scientist posits a simple model, fits it to her data, refines it according to her analysis, and repeats. However,... 
Approximate inference | Bayesian inference | Probabilistic programming | approximate inference | probabilistic programming | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Neural Computation, ISSN 0899-7667, 01/2017, Volume 29, Issue 1, pp. 1 - 49
This article describes a process theory based on active inference and belief propagation. Starting from the premise that all neuronal processing (and action... 
DOPAMINE NEURONS | CHOICE | PROBABILITY | DECISION-MAKING | INFORMATION | EXPLORATION | REPRESENTATION | PARIETAL CORTEX | FREE-ENERGY | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | Validity | Markov analysis | Cognition & reasoning | Energy | Neurons | Precession | Propagation | Dynamics | Inference | Mathematical models | Bayesian analysis | Descent | Free energy
Journal Article
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