mjkim1001 Goto Github PK

as21

Applied Statistics I, 2021, UNC at Chapel Hill-linear regression

as22

Applied Statistics II, 2022, UNC at Chapel Hill-deep neural network

asc19-project

Advance Statistical Computing, 2019, Seoul National University

gpt-pinn

Generative Pre-Trained Physics-Informed Neural Networks Implementation

librom

Model reduction library with an emphasis on large scale parallelism and linear subspace methods

libromruns

temporary repository to share libROM runs

mfsampling

Multi-fidelity density estimation via importance sampling

mini-conf

Run a conference from your backyard.

mjkim1001.github.io

a category-centric theme for Jekyll

research-pm

Analyzing Particulate Matter Data based on Approximate Factor Model

sample_wc

sc22

Scientific Computation, 2022, UNC at Chapel Hill-approximation of numbers, real functions, functionals, and operators

zits

This study develops a new clustering method for high-dimensional zero-inflated time-series data by proposing a similarity measure based on Thick Pen Transformation. Two real data set considered were step count data and newly confirmed COVID-19 case data.