9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy, 2015 The Multilabel Naive Credal Classifier Alessandro Antonucci and Giorgio Corani IDSIA SUPSI/USI Lugano (Switzerland)

Source URL: ipg.idsia.ch

• Bayesian inference
• Statistical classification
• Credal network
• Machine learning
• Credal set
• C0
• Naive Bayes classifier
• Pattern recognition
• Bayesian network
• Colorado
• Classifier chains

Analysis  of  Massive  Data  Streams   using  R  and  AMIDST   Page 9 of 73 FP7-ICTAMIDST

Source URL: static.amidst.eu

• Graphical models
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• Networks
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• Bayesian inference

16 Basic Bayesian Methods Mark E. Glickman and David A. van Dyk Summary In this chapter, we introduce the basics of Bayesian data analysis. The key ingredients to a

Source URL: www.glicko.net

• Bayesian statistics
• Bayesian inference
• Prior probability
• Beta distribution
• Likelihood function
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• Normal distribution
• Confidence interval
• Posterior probability
• Conjugate prior
• Marginal likelihood

Bayesian alternatives to null-hypothesis significance testing for repeated-measures designs

Source URL: web.uvic.ca

• Statistical inference
• Hypothesis testing
• Design of experiments
• Statistical theory
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• Statistical hypothesis testing
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• Bayesian

From Sequences to Population Parameters: Using LAMARC for Data-Mining Lucian Smith, Mary Kuhner University of Washington, Department of Genome Sciences Poster available at: http://evolution.gs.washington.edu/lamarc/Tutor

Source URL: evolution.gs.washington.edu

• Statistical inference
• Genetics
• Statistical theory
• Microsatellite
• Population genetics
• Confidence interval
• Bayesian inference
• Coalescent theory

Context-Sensitive Induction Patrick Shafto1 , Charles Kemp1 , Elizabeth Baraff1 , John D. Coley2 , & Joshua B. Tenenbaum1 1 Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology 2

Source URL: ccdlab.rutgers.edu

• Reasoning
• Inductive reasoning
• Philosophy of science
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• Critical thinking
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• Argument

Supplementary materials for this article are available online. Please go to www.tandfonline.com/r/JASA Bayesian Phylogenetic Inference Using a Combinatorial Sequential Monte Carlo Method ˆ E´ , and Arnaud DOUCET Liang

Source URL: www.stats.ox.ac.uk

326 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 3, MARCH 2008 Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

Source URL: decsai.ugr.es

• Statistics
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• Conjugate prior
• Hyperprior
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• Hyperparameter
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• Prior probability
• Hidden Markov model
• Maximum likelihood estimation

2015 IEEE International Conference on Robotics and Automation (ICRA) Washington State Convention Center Seattle, Washington, May 26-30, 2015 Self-tuning M-estimators G. Agamennoni, P. Furgale and R. Siegwart

Source URL: europa2.informatik.uni-freiburg.de

• Estimation theory
• Statistical theory
• M-estimators
• Statistical inference
• Bayesian statistics
• Maximum likelihood estimation
• Normal distribution
• Bayes estimator
• Efficiency
• Estimator
• Marginal likelihood
• operator

REV_ISS_WEB_COGS_12101_38

Source URL: cocosci.berkeley.edu

• Statistics
• Statistical theory
• Statistical inference
• Philosophy of science
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• Bayesian network
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• Markov chain Monte Carlo