Strictly Proper Scoring Rules, Prediction, and Estimation Tilmann G NEITING and Adrian E. R AFTERY Scoring rules assess the quality of probabilistic forecasts, by assigning a numerical score based on the predictive distr

Source URL: www.stat.washington.edu

• Statistical theory
• Probability theory
• Information theory
• Decision theory
• Scoring rule
• Kullback–Leibler divergence
• Divergence
• Brier score
• Bregman divergence
• Statistics
• Probability and statistics
• Geometry

Regulatory Challenges in International Economic Law: Convergence or Divergence? SIEL Conference Bern July 10-12, 2014 Professor Thomas Cottier Welcome Address Dear Colleagues: On behalf of the University of Bern and th

Source URL: www.wti.org

• International relations
• Political philosophy
• Humanities
• Law
• Globalization
• Regulation
• World Trade Organization
• World Trade Institute
• European Union
• International trade
• Economics
• World government

6 | ÉTAT DES LIEUX Thomas Loupare - Divergence L’état de l’économie 2015

Source URL: www.ofce.sciences-po.fr

Mixed Membership Stochastic Blockmodels Edoardo M. Airoldi 1,2 , David M. Blei 1 , Stephen E. Fienberg 3,4 & Eric P. Xing 4∗ 1 Department of Computer Science, 2 Lewis-Sigler Institute, Princeton University 3

Source URL: www.cs.columbia.edu

• Missing data
• Bayesian statistics
• Kalman filter
• Latent Dirichlet allocation
• Constructible universe
• FO
• Kullback–Leibler divergence
• Variational Bayesian methods
• Statistics
• Estimation theory
• Expectation–maximization algorithm

Robust Winners and Winner Determination Policies under Candidate Uncertainty Craig Boutilier J´erˆome Lang Department of Computer Science

Source URL: www.cs.toronto.edu

• Applied mathematics
• Borda count
• FO
• Kullback–Leibler divergence
• Universal quantification
• Dynamic programming
• Μ operator
• Single winner electoral systems
• Theoretical computer science
• Mathematics

In C. Johnson (Ed.), Proceedings of the AISB’04 Symposium on Emotion, Cognition and Affective Computing ISBN[removed], (pp. 1–8). Leeds, UK, 2004. On Relation between Emotion and Entropy Roman V. Belavkin

Source URL: www.eis.mdx.ac.uk

• Probability and statistics
• Thermodynamics
• Philosophy of thermal and statistical physics
• Information theory
• Entropy
• Affect
• Principle of maximum entropy
• Emotion
• Kullback–Leibler divergence
• Statistics
• Statistical theory
• Thermodynamic entropy

Reference: http://epsc.wustl.edu/classwork/454/syllabus.html 1. FUNDAMENTAL CONCEPTS AND MATH REVIEW

Source URL: www.nuceng.ca

• Vector calculus
• Potential gradient
• Vector field
• Divergence
• Del
• Gradient
• Partial derivative
• Curl
• Derivative
• Mathematics
• Algebra
• Mathematical analysis

The Netherlands Code of Conduct for Academic Practice Principles of good academic teaching and research This text is an English translation of the Dutch original. In case of any divergence of interpretation, the Dutch te

Source URL: www.vsnu.nl

• University governance
• Academic freedom
• Research
• Academic Bill of Rights
• Academic integrity
• Professor
• Education
• Knowledge
• Academia

Structured Stochastic Variational Inference Matthew D. Hoffman Adobe Research David M. Blei

Source URL: www.cs.columbia.edu

• Estimation theory
• Variational Bayesian methods
• Kullback–Leibler divergence
• Markov chain
• Linear regression
• Regression analysis
• Latent Dirichlet allocation
• Statistics
• Econometrics
• Bayesian statistics

Decomposing Spatiotemporal Brain Patterns into Topographic Latent Sources Samuel J. Gershman∗ Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

Source URL: www.cs.columbia.edu

• Bayesian statistics
• Statistical theory
• Kullback–Leibler divergence
• Thermodynamics
• Identifiability
• Marginal likelihood
• Gamma distribution
• Functional magnetic resonance imaging
• Markov chain
• Statistics
• Logic
• Estimation theory