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University of Colorado Boulder ASEN 5070: Statistical Orbit Determination I Fall 2014 Professor Brandon A. Jones Lecture 14: Probability Wrap-Up and Statistical Least Squares
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University of Colorado Boulder Lecture Quiz Due by 5pm Friday (10/3) Homework #5 Due 10/3 2
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University of Colorado Boulder Multivariate Gaussian Distribution Central Limit Theorem Bayes’ Theorem Statistical Least Squares 3
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University of Colorado Boulder 4 Multivariate Normal Distribution
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University of Colorado Boulder Multivariate: 5 Univariate:
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University of Colorado Boulder It may be shown that: 7 Although the above assumes a bivariate normal distribution, the idea extends to higher dimensions with minor changes
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University of Colorado Boulder The conditional density function is also a normal distribution (anyone seeing a trend here?) 8
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University of Colorado Boulder 9 The conditional PDF from the previous slide is a special case of the general conditional PDF
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University of Colorado Boulder 11 Central Limit Theorem
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University of Colorado Boulder When we have many observations, the CLT implies that we can treat the mean observation error as a Gaussian random variable What about when we don’t have many observations? 14
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University of Colorado Boulder 15 Bayes’ Theorem
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University of Colorado Boulder Allows for updating a hypothesis’ probability when given additional information ◦ Known as Bayesian Inference Modern estimation research is rooted in Bayesian Inference! 17
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University of Colorado Boulder 20 Statistical Interpretation of Least Squares
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University of Colorado Boulder 29 We may leverage a statistical interpretation of the observation errors to yield a description of the estimation errors
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