Christian Hennig, Falsification of Propensity Models by Statistical...
philpapers.org
Gillies introduced a propensity interpretation of probability which is linked to experience by a falsifying rule for probability statements. The present paper...
Beyond subjective and objective in statistics: my talk with...
statmodeling.stat.columbia.edu
Christian Hennig and I write: Decisions in statistical data analysis are often justified, criticized, or avoided using concepts of objectivity and ...
Gelman on Hennig on Gelman on Bayes « Statistical Modeling, Causal...
statmodeling.stat.columbia.edu
Deborah Mayo pointed me to this discussion by Christian Hennig of my recent article on Induction and Deduction in Bayesian Data Analysis.
“Frequentism-as-model” « Statistical Modeling, Causal ...statmodeling.stat.columbia.edu › › frequent...
statmodeling.stat.columbia.edu
Christian Hennig writes: Most statisticians are aware that probability models interpreted in a frequentist manner are not really true in objective ...
SOME THOUGHTS ABOUT THE DESIGN OF LOSS FUNCTIONS
www.ine.pt
REVSTAT – Statistical Journal Volume 5, Number 1, March 2007, 19–39 SOME THOUGHTS ABOUT THE DESIGN OF LOSS FUNCTIONS Authors: Christian Hennig
Google Groups: literature on NN and statisticals
: Christian Hennig in University of Hamburg also looking at this via a
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Christian Hennig - The London NERC DTPlondon-nerc-dtp.org › hennigc
london-nerc-dtp.org
Profile Display Name: Christian Hennig. E-mail Address: .uk. Institution: UCL. Department: Statistical Science. Job Title: Bio: Research Interests: ...
A Commentary on Noyce, Küssner and Sollich: Quantifying ...emusicology.org › article › view
emusicology.org
A commentary on Noyce, Küssner and Sollich: Quantifying Shapes CHRISTIAN HENNIG Department of Statistical Science, University College London.
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