Pinned Repositories
A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information for roof drainage design. The guide mainly focuses on extreme rainfall analysis. However, the basic steps are also suitable for other climatic or hydrologic variables such as temperature, wind speed or runoff.
book-compstat
Computational Statistics Book
book-counterprob
Counterexamples in Probability
brinla
Bayesian Regression with INLA
course-prob
Fake probability class
remaster-the-tidyverse
This is a planning repository where I develop Tidyverse-related workshops.
rep-res-course
Materials for a class on reproducible research with R, Rstudio, and GitHub
SNUmultiscale
Data, codes and documents about EVA 2017 challenge
SeoncheolPark's Repositories
SeoncheolPark/brinla
Bayesian Regression with INLA
SeoncheolPark/course-prob
Fake probability class
SeoncheolPark/book-compstat
Computational Statistics Book
SeoncheolPark/book-lm
Linear Models Book
SeoncheolPark/book-prob
a Probability book
SeoncheolPark/climate
The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset
SeoncheolPark/course-compstat
Computational Statistics Course
SeoncheolPark/course-extremes
extreme value statistics course
SeoncheolPark/course-fakestat
fake statistics course
SeoncheolPark/course-spatstat
Spatial Statistics Course
SeoncheolPark/course-statcomputing
Statistical Computing Website
SeoncheolPark/course-timeseries
fake time series course
SeoncheolPark/downscaleR
An R package for climate data bias correction and downscaling (part of the climate4R bundle)
SeoncheolPark/drs
[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles
SeoncheolPark/evacloud
Extreme value analysis on R studio cloud
SeoncheolPark/fasteR
Fast Lane to Learning R!
SeoncheolPark/paper-EDrought
Extreme Drought Event Modelling Paper
SeoncheolPark/paper-StreamflowLifting
Streamflow Lifting Scheme
SeoncheolPark/project-PM10
South Korea PM10 Analysis Project
SeoncheolPark/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
SeoncheolPark/quizprobcloud
test, quiz, probability on Rstudiocloud
SeoncheolPark/regbookcloud
SeoncheolPark/schedulerShinyApp
R shiny application for staff scheduling
SeoncheolPark/seoncheolpark.github.io
My website
SeoncheolPark/sfo
Package for tracking SFO airport statistics
SeoncheolPark/shiny_apps
Run the CLT Shiny app : https://datatrigger.shinyapps.io/CLT_Visualization/
SeoncheolPark/soft-dtw-divergences
SeoncheolPark/STR_paper
Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression
SeoncheolPark/temperature-prediction
SeoncheolPark/test-RStudioCloud
Test repository for the R studio cloud