Pinned Repositories
0.30000000000000004
315_code_and_data
Code and datasets for 36-315, Statistical Graphics and Visualization, Spring 2018, CMU
36721-F15
Materials for course 36-721, Statistical Graphics and Visualization, Fall 2015, CMU
FS-SeqCV-article
Simulations and data analyses from "Model-Selection Properties of Forward Selection and Sequential Cross-Validation for High-Dimensional Regression," Wieczorek and Lei, CJS (https://doi.org/10.1002/cjs.11635)
RankingProject
R package {RankingProject}: visualizations for comparing populations, and associated papers (https://doi.org/10.1080/00031305.2017.1392359 and https://doi.org/10.1111/rssc.12402)
SDSS-2019-DatavizEd
Slides and materials for talk on "A Three-Part Data Visualization Curriculum" at SDSS 2019 in Bellevue, WA
stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
CIPerm
R package {CIPerm}: Computationally-efficient confidence intervals for mean shift from permutation methods, based on Nguyen (2009) (http://doi.org/10.15760/etd.7798)
FIA-simpop-app
R Shiny app to compare small area models on an artificial population, built on data from the Forest Inventory and Analysis program of the US Forest Service
surveyCV
R package {surveyCV}: K-fold cross-validation for complex sample survey designs, and associated paper (https://doi.org/10.1002/sta4.454)
civilstat's Repositories
civilstat/RankingProject
R package {RankingProject}: visualizations for comparing populations, and associated papers (https://doi.org/10.1080/00031305.2017.1392359 and https://doi.org/10.1111/rssc.12402)
civilstat/SDSS-2019-DatavizEd
Slides and materials for talk on "A Three-Part Data Visualization Curriculum" at SDSS 2019 in Bellevue, WA
civilstat/stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
civilstat/0.30000000000000004
civilstat/315_code_and_data
Code and datasets for 36-315, Statistical Graphics and Visualization, Spring 2018, CMU
civilstat/36721-F15
Materials for course 36-721, Statistical Graphics and Visualization, Fall 2015, CMU
civilstat/FS-SeqCV-article
Simulations and data analyses from "Model-Selection Properties of Forward Selection and Sequential Cross-Validation for High-Dimensional Regression," Wieczorek and Lei, CJS (https://doi.org/10.1002/cjs.11635)
civilstat/awesome-courses
List of awesome university courses for learning Computer Science!
civilstat/civilstat.github.io
Jerzy's website
civilstat/conformal
Tools for conformal inference in regression
civilstat/datasharing
The Leek group guide to data sharing
civilstat/HW_0
36-750 Stat Computing HW 1: Conway's Game Of Life
civilstat/MixedPanel
Shiny app for probability of a mixed panel assignment
civilstat/wieczorek-thesis-code
Simulations and data analyses from Jerzy Wieczorek's PhD thesis, "Model Selection and Stopping Rules for High Dimensional Forward Selection" (2018) (https://doi.org/10.1184/R1/7583870.v1)