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A Transdimensional Map of Australian Moho Earthquake of the Week Thomas Bodin 28 Oct 2011
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The Moho
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Different Types of Measures Reflection Refraction (no point measures along lines) Broadband Receiver Functions High Frequency Receiver Functions Tomography Historical seismicity Gravity
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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
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A Transdimensional Ensemble Solution
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A Probabilistic Formulation Moho Depth P(Moho Depth |data)
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Expected values Average MapMap of Sdt Deviation
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Different Ways to Look at the Solution Average Map
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Different Ways to Look at the Solution Arithmetic Mean Harmonic Mean Median Maximum
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Inferred levels of Data Uncertainties
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Skewness (3 rd Order Moment)
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Kurtosis (4 th order moment) Log(Kurtosis)
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Map of correlation between one pixel and all the other pixels
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Limits of Non-linear Bayesian Inference. Example with weather forecast
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Limits of Non-linear Bayesian Inference.
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