| Sun | Mon | Tue | Wed | Thu | Fri | Sat |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| 8 | 9 | 10 | 11 | 12 | 13 | 14 |
| 15 | 16 | 17 | 18 | 19 | 20 | 21 |
| 22 | 23 | 24 | 25 | 26 | 27 | 28 |
| 29 | 30 | 31 |
« More thoughts on publication bias and p-values | Main | An Individual-Level Story and Ecological Inference »
31 October 2006
Jacob Eisenstein at MIT has developed an smart election predictor for the US Senate Elections using a Kalman Filter. The filter helps to decide how much extra weight to attach to more recent polls. Check it out here; he also has some details on the method here.
Posted by Sebastian Bauhoff at October 31, 2006 2:01 PM