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A T ransdimensional Map of Australian Moho

A T ransdimensional Map of Australian Moho. Earthquake of the Week Thomas Bodin 28 Oct 2011. The Moho. Different T ypes of Measures. Reflection Refraction (no point measures along lines) Broadband Receiver Functions High Frequency Receiver Functions Tomography

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A T ransdimensional Map of Australian Moho

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  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 Surface fitting with Splines 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

  5. A Transdimensional Ensemble Solution

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

  7. Expected values Average Map Map of Sdt Deviation

  8. Different Ways to Look at the Solution Average Map

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

  10. Inferred levels of Data Uncertainties

  11. Skewness(3rd Order Moment)

  12. Kurtosis (4th 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

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

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

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

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

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

  20. Limits of Non-linear Bayesian Inference.

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