WAIC AND WBIC ARE INFORMATION CRITERIA FOR SINGULAR STATISTICAL MODEL EVALUATION Sumio Watanabe1 1 Department of Computational Intelligence and Systems Science

Source URL: www.me.inf.kyushu-u.ac.jp

Proposals for Extending the R Language Radford M. Neal, University of Toronto Dept. of Statistical Sciences and Dept. of Computer Science http://www.cs.utoronto.ca/∼radford Directions in Statistical Computing, Bressan

Source URL: www.cs.toronto.edu

PROC. OF THE 9th PYTHON IN SCIENCE CONF. (SCIPYData Structures for Statistical Computing in Python Wes McKinney

Source URL: conference.scipy.org

Jaar / Yearjun-15 Mathematics - Statistical Science for the Life and Behaviour Sciences STUDIEACTIVITEITEN / CLASSES

Source URL: fwncwww14.wks.gorlaeus.net

Learning to Randomize and Remember in Partially-Observed Environments Radford M. Neal, University of Toronto Dept. of Statistical Sciences and Dept. of Computer Science http://www.cs.utoronto.ca/∼radford

Source URL: www.cs.toronto.edu

National Science Center Kharkov Institute of Physics and Technology 3rd International Conference on QUANTUM ELECTRODYNAMICS AND STATISTICAL PHYSICS

Source URL: www.kipt.kharkov.ua

NCSES Engagements with Academic Experts in Statistical Agency Research Jeri Mulrow NCSES Deputy Director 2014 FCSM Statistical Policy Seminar National Science Foundation

Source URL: www.copafs.org

COMMENTS ON “STATISTICAL GUIDANCE METHODS FOR PREDICTING SNOWFALL ACCUMULATION IN THE NORTHEAST UNITED STATES” BY McCANDLESS ET ALDavid M. Schultz1 Centre for Atmospheric Science, School of Earth, Atmospheri

Source URL: weather.seaes.manchester.ac.uk

Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train/fit

Source URL: www.timvanerven.nl

• Econometrics
• Actuarial science
• Statistical classification
• Naive Bayes classifier
• Training set
• Logistic regression
• Overfitting
• Generalized linear model
• Supervised learning
• Statistics
• Regression analysis
• Machine learning

OXFORD UNIVERSITY PRESS LTD JOURNAL), 1–26 doi:OUP Journal/XXX000 Beyond dimension two: A test for higher-order tail risk Carsten Bormann1 , Julia Schaumburg 2 , and Melanie Schienle3 1

Source URL: www.ewifo.uni-hannover.de

• Covariance and correlation
• Data analysis
• Multivariate statistics
• Copula
• Normal distribution
• Pearson product-moment correlation coefficient
• Cumulative distribution function
• Correlation and dependence
• Bootstrapping
• Statistics
• Statistical dependence
• Actuarial science