1. A Transdimensional Map of Australian Moho Earthquake of the Week Thomas Bodin 28 Oct 2011

2. The Moho

3. Different Types of Measures Reflection Refraction (no point measures along lines) Broadband Receiver Functions High Frequency Receiver Functions Tomography Historical seismicity Gravity

4. AusMoho Different issues 1.Levels of noise ? 2. Irregular distribution of data 3. Moho depth varibility is variable 4. Sharp discontinuities may be have been smoothed Surface fitting with Splines

5. A Transdimensional Ensemble Solution

6. A Probabilistic Formulation Moho Depth P(Moho Depth |data)

7. Expected values Average MapMap of Sdt Deviation

8. Different Ways to Look at the Solution Average Map

9. Different Ways to Look at the Solution Arithmetic Mean Harmonic Mean Median Maximum

10. Inferred levels of Data Uncertainties

11. Skewness (3 rd Order Moment)

12. Kurtosis (4 th order moment) Log(Kurtosis)

13. Map of correlation between one pixel and all the other pixels

14. Limits of Non-linear Bayesian Inference. Example with weather forecast

20. Limits of Non-linear Bayesian Inference.