University of Colorado Boulder ASEN 5070: Statistical Orbit Determination I Fall 2014 Professor Brandon A. Jones Lecture 14: Probability Wrap-Up and Statistical.

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Presentation transcript:

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

University of Colorado Boulder  Lecture Quiz Due by 5pm Friday (10/3)  Homework #5 Due 10/3 2

University of Colorado Boulder  Multivariate Gaussian Distribution  Central Limit Theorem  Bayes’ Theorem  Statistical Least Squares 3

University of Colorado Boulder 4 Multivariate Normal Distribution

University of Colorado Boulder  Multivariate: 5  Univariate:

University of Colorado Boulder 6

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

University of Colorado Boulder  The conditional density function is also a normal distribution (anyone seeing a trend here?) 8

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

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