A Bayesian approach to type-specific conic fitting

19 Nov 2016 Matthew Collett

A perturbative approach is used to quantify the effect of noise in data points on fitted parameters in a general homogeneous linear model, and the results applied to the case of conic sections. There is an optimal choice of normalisation that minimises bias, and iteration with the correct reweighting significantly improves statistical reliability... (read more)

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