Tag: Linear Regression
- Fine-mapping from Summary Data with SuSiE
- SuSiE: Sum of Single Effects Model
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Predictive Degrees of Freedom
This note is for Luan, B., Lee, Y., & Zhu, Y. (2021). Predictive Model Degrees of Freedom in Linear Regression. ArXiv:2106.15682 [Math].
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Benign Overfitting in Linear Regression
This note is for Bartlett, P. L., Long, P. M., Lugosi, G., & Tsigler, A. (2020). Benign Overfitting in Linear Regression. ArXiv:1906.11300 [Cs, Math, Stat].
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Linear Regression with Partially Shuffled Data
This post is based on Slawski, M., Diao, G., & Ben-David, E. (2019). A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data. ArXiv:1910.01623 [Cs, Stat].
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An R Package: Fit Repeated Linear Regressions
Repeated Linear Regressions refer to a set of linear regressions in which there are several same variables.
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A Faster Algorithm for Repeated Linear Regression
Repeated Linear Regression means that repeat the fitting of linear regression for many times, and there are some common parts among these regressions.
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Conjugate Gradient for Regression
The conjugate gradient method is an iterative method for solving a linear system of equations, so we can use conjugate method to estimate the parameters in (linear/ridge) regression.