SeoncheolPark

brinla

Bayesian Regression with INLA

course-prob

Fake probability class

book-compstat

Computational Statistics Book

book-lm

Linear Models Book

book-prob

a Probability book

climate

The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset

course-compstat

Computational Statistics Course

course-extremes

extreme value statistics course

course-fakestat

fake statistics course

course-spatstat

Spatial Statistics Course

course-statcomputing

Statistical Computing Website

course-timeseries

fake time series course

downscaleR

An R package for climate data bias correction and downscaling (part of the climate4R bundle)

drs

[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles

evacloud

Extreme value analysis on R studio cloud

fasteR

Fast Lane to Learning R!

paper-EDrought

Extreme Drought Event Modelling Paper

paper-StreamflowLifting

Streamflow Lifting Scheme

project-PM10

South Korea PM10 Analysis Project

PythonNumericalDemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

quizprobcloud

test, quiz, probability on Rstudiocloud

regbookcloud

schedulerShinyApp

R shiny application for staff scheduling

seoncheolpark.github.io

My website

sfo

Package for tracking SFO airport statistics

shiny_apps

Run the CLT Shiny app : https://datatrigger.shinyapps.io/CLT_Visualization/

soft-dtw-divergences

STR_paper

Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression

temperature-prediction

test-RStudioCloud

Test repository for the R studio cloud