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We have suggested boosting with componentwise linear regression as a base procedure for choosing summary statistics in ABC.
The behavior of the weak learner is described by the base procedure g ^, a real valued function.
Fit the negative gradient vector (U1, … , U n) to (X1, … , X n) by the base procedure: (X i, U i ) i = 1 n → g ^ [ m ].
This base procedure selects the best variable in a simple linear model in the sense of ordinary least-squares fitting (Bühlmann and Hothorn 2007).
The result of this algorithm is a linear combination F ^ of base procedure estimates, as shown in Equation 7 of the main text.
The generic boosting estimator obtained from this algorithm is a sum of base procedure estimates, (7) F ^ = ν ∑ m = 1 m stop g ^ [ m ].
Similar(50)
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Patients who underwent skull base procedures have been noted to experience appreciable pain.
This study has implications for surgical planning before sinus or skull base procedures.
As more advanced endoscopic skull base procedures are developed, it is important to assess the clinical outcomes of such surgeries.
Based on these two dimensions, we identified three types of focused factories: specialty based, delivery based, and procedure based.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com