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2007, Oxford Series in Cognitive Development, ISBN 0195176804, x, 358
The world has a causal structure, in the sense that some events make other events happen. Although understanding causal structure is essential for predicting... 
Causation | Learning, Psychology of | Philosophy | developmental psychology | Causal knowledge | Concepts | Statistical learning | Bayes nets | Folk theories | Probabilistic models | Cognitive development | Bayesian inference | Causal learning | Causal models
Book
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 6/2012, Volume 74, Issue 3, pp. 419 - 474
Journal Article
PLoS Computational Biology, ISSN 1553-734X, 01/2013, Volume 9, Issue 1, p. e1002803
Journal Article
Journal Article
Annual Review of Ecology, Evolution, and Systematics, ISSN 1543-592X, 12/2010, Volume 41, Issue 1, pp. 379 - 406
In the past 10years a statistical technique, approximate Bayesian computation (ABC), has been developed that can be used to infer parameters and choose between... 
Monte Carlo | Bayesian inference | simulation | Ecological modeling | Approximation | Demography | Evolutionary genetics | Inference | Descriptive statistics | Parametric models | Population genetics | Modeling | Human genetics | Bayesian statistical decision theory | Satellite DNA | Usage | Research | Human ecology | Environmental sciences | Genetic research | Analysis
Journal Article
Water Resources Research, ISSN 0043-1397, 07/2013, Volume 49, Issue 7, pp. 4335 - 4345
The ever increasing pace of computational power, along with continued advances in measurement technologies and improvements in process understanding has... 
computational statistics | rainfall‐runoff transformation | approximate Bayesian computation | hydrologic modeling | rainfall-runoff transformation | ENVIRONMENTAL SCIENCES | PARAMETER-ESTIMATION | EQUIFINALITY | INPUT UNCERTAINTY | WATER RESOURCES | LIMNOLOGY | BASEFLOW | CHAIN MONTE-CARLO | Bayesian analysis | Models
Journal Article
Current Opinion in Neurobiology, ISSN 0959-4388, 2009, Volume 19, Issue 4, pp. 452 - 458
Journal Article
Water Resources Research, ISSN 0043-1397, 08/2014, Volume 50, Issue 8, pp. 6767 - 6787
The quest for a more powerful method for model evaluation has inspired Vrugt and Sadegh (2013) to introduce “likelihood‐free” inference as vehicle for... 
Approximate Bayesian Computation | Population Monte Carlo | Markov chain Monte Carlo | hydrologic modeling | Hydrologic modeling | ENVIRONMENTAL SCIENCES | ABC | GLOBAL OPTIMIZATION | ALGORITHM | WATER RESOURCES | LIMNOLOGY | INFERENCE | DIFFERENTIAL EVOLUTION | Markov analysis | Bayesian analysis | Monte Carlo simulation | Methods
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