pulongma Goto Github PK

arcokrig

ARCokrig: Autoregressive Cokriging Models for Multifidelity Codes

dabayes

An R package for Bayesian implementation of Detection and Attribution problems

duke-mlss-2018

Duke Machine Learning Summer School 2018

emukit

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

fgpmodeling

A Fused Gaussian Process Model for Very Large Spatial Data.

gpbayes

Tools for Gaussian Process Modeling in Uncertainty Quantification

ibtracs2021

Tropical Cyclone Project in SAMSI Undergraduate Virtual Workshop

modern-bayes

Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science

obayesarcokrig

Objective Bayesian Analysis of a Cokriging Model for Hierarchical Multifidelity Codes

oco2emulator

Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments

plusdatascience

Materials for +DataScience In-Person Learning Experiences (IPLEs)

ppcokriging

pulongma.github.io

samsi-ugmodeling2019may

IBTrACS Data

smc2017

Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala University, August 2017

spatialdownscaling

Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments

we-uq

Computational Wind Engineering Application