Last updated: 2018-05-07
workflowr checks: (Click a bullet for more information) ✔ R Markdown file: up-to-date
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✔ Repository version: b082c1b
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File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | b082c1b | Dongyue | 2018-05-07 | correct mu_t+E(u_t) |
Rmd | ee44935 | Dongyue | 2018-05-06 | unknown sigma version |
html | 767077f | Dongyue | 2018-05-06 | unknown sigma version |
html | 341e471 | Dongyue | 2018-05-05 | edit |
html | c72247b | Dongyue | 2018-05-05 | edit |
Rmd | 3bd6a61 | Dongyue | 2018-05-05 | first commit |
html | ca322e8 | Dongyue | 2018-05-05 | first commit |
Rmd | b7e89a3 | DongyueXie | 2018-05-01 | Start workflowr project. |
This project aims to study a generalization version of normal version of smash. It is a version of wavelet denoising for Gaussian where each observation has additional known measurement error. The method is expected to handle the Poisson nugget effect.
This project is based on the ideas from Professor Matthew Stephens. Thanks to Matthew Stephens and Kushal K Dey for their great help.
This reproducible R Markdown analysis was created with workflowr 1.0.1