# Provide intermediate steps for mathematical derivation in scientific paper

From time to time I could use someone to help me understand mathematical derivations in publish

articles which are skipping over to many details for me. :-)

Your first job would be to explain how to use the Taylor expansion to form a

quadratic approximation of the logistic regression log-likelihood in order to

derive a iterative re-weighted least squares algorithm.

More precisely I need the intermediate steps from from eq. 14 to

eq. 15. [0].

The reason I need the intermediate steps from eq. 14 to eq. 15 is that I

want to apply the same steps instead to a linear model $f(x) = x^T\theta$ (as in the

paper) to a different model.

Here are some references that might be helpful.

- [login to view URL]~mgormley/courses/10701-f16/slides/[login to view URL] slide 60

- [login to view URL] slide 8

- [login to view URL]

- [login to view URL]:doi/10.1371/[login to view URL]

- [login to view URL]

section 2

- [login to view URL]~ryantibs/convexopt-F15/lectures/[login to view URL]

[0] Regularization Paths for Generalized Linear Models via Coordinate Descent

[login to view URL]

Taidot: Algoritmi, Matematiikka, Tilastotiede

Tietoa työnantajasta:
( 0 arvostelua ) Hong Kong, Hong Kong

Projektin tunnus: #17754722

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dinhfreedom

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$250 USD 7 päivässä (53 arvostelua) 6.3 williams115 Hi, there - My name is Phong. I have read your job description and I am very interested in this project because I have good experience with mathematics and algorithm. I would love to speak with you further about taki Lisää$250 USD 5 päivässä
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$750 USD 10 päivässä (28 arvostelua) 5.6 liangjongai Hi There! I'm interesting your project very well. I am a full time devloper and can work more than 50 hours in a week. I'm a good Mathematician. And also I have many experience and good skill about mathematical p Lisää$500 USD 10 päivässä
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Valuesolutions

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VirtualBrainInc

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