seoncheolpark Goto Github PK
Name: Seoncheol Park
Type: User
Company: Hanyang University
Location: Seoul, South Korea
Name: Seoncheol Park
Type: User
Company: Hanyang University
Location: Seoul, South Korea
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.
Computational Statistics Book
Counterexamples in Probability
A minimal example of using bookdown to write a book for Chapman & Hall/CRC
Linear Models Book
a Probability book
Bayesian Regression with INLA
The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset
Climate indices for drought monitoring, community reference implementations in Python
Computational Statistics Course
extreme value statistics course
fake statistics course
Fake probability class
Spatial Statistics Course
Statistical Computing Website
fake time series course
R markdown website practice
composite quantile regression forests
An R package for climate data bias correction and downscaling (part of the climate4R bundle)
[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles
Grammar of Experimental Design
Ellipse-Ellipse overlap area
Extreme value analysis on R studio cloud
Fast Lane to Learning R!
Generalized Additive Models in R: A Free Interactive Course
Easy access to shapefiles of the Brazilian Institute of Geography and Statistics (IBGE) and other official spatial data sets of Brazil
Code for "Fine-scale spatiotemporal air pollution analysis using mobile monitors on Google Street View vehicles"
Generalized Random Forests
Code for Heaton et al (in JABES, 2018)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.