Canterbury Statistics Portal
Statistics events of interest to the Canterbury region.
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50 events found.
Graphical Comparisons of Survivor Functions and an Interactive Surrogate Plot for RPART trees
| Speaker: | Deidre Wall (National University of Ireland in Galway) |
| Starts: | 03:00 PM, May 16, 2012 |
| Ends: | 04:00 PM, May 16, 2012 |
| Where: | Maths and Stats Dept, Uni of Canterbury |
Classification and Regression Trees (CART) are a simple non-parametric regression approach. The main feature of CART is the data is recursively partitioned into groups. At any given node in a CART, the best split s is chosen and the data is split...
Looking for Framing Effects in Expressive Voting Experiments 
| Speaker: | David Fielding (University of Otago) |
| Starts: | 03:00 PM, May 11, 2012 |
| Ends: | 04:20 PM, May 11, 2012 |
| Where: | Uni of Canterbury |
Experiments have shown that some people behave more altruistically when making collective decisions than they do when making individual ones; this is consistent with theories of expressive voting. However, there is a great deal of variation in the...
Completing the Logarithmic Scoring Rule for Assessing Probability Distributions 
| Speaker: | Frank Lad (University of Canterbury) |
| Starts: | 03:00 PM, May 10, 2012 |
| Ends: | 04:00 PM, May 10, 2012 |
| Where: | Maths and Stats Dept, Uni of Canterbury |
We propose and motivate an expanded version of the logarithmic score for forecasting distributions, termed the Total Log score. The expectation of the Total Log score equals the Negentropy plus the Negextropy of the distribution, and also equals...
What’s it all about, Subjective Probability? 
| Speaker: | Frank Lad (University of Canterbury) |
| Starts: | 04:00 PM, May 4, 2012 |
| Ends: | 05:01 PM, May 4, 2012 |
| Where: | Maths and Stats Dept, Uni of Canterbury |
In this brief Primer I'll talk through the structure of the constructive mathematics of operational subjective statistical methods, in the mode of Bruno de Finetti. We'll address his constructive formulation of probability (more...
Efficient detection of multiple changepoints within an oceanographic time series 
| Speaker: | Rebecca Killick (University of Lancaster) |
| Starts: | 02:00 PM, Apr 26, 2012 |
| Ends: | 03:00 PM, Apr 26, 2012 |
| Where: | Maths and Stats Dept, Uni of Canterbury |
Abstract: We consider the problem of detecting multiple changepoints in large oceanographic data sets. In this setting the amount of data being collected is continually increasing and consequently the number of changepoints will also increase...