Pinned Repositories
Absolute-penalty-strategies-based-on-local-polynomials-for-censored-partially-linear-regression
AdvancedMathematicalStatistics20211
applied_metrics
A PhD course in Applied Econometrics and Panel Data
ar2023
awesome-R
A curated list of awesome R packages, frameworks and software.
boPro
Code from my PhD in the Decision Neuroscience Lab
Local-Linear-Estimation
I implement the local linear estimation described in Hansen's Econometrics.
Parameter-selection-for-Nonparametric-regression
This repository involves many parameter selection criteria for the smoothing parameter selection for the five smoothing method that are kNN regression, Kernel smoothing, Local linear regression, B-spline, truncated power basis splines and smoothing splines.
SIMEXBoost
:exclamation: This is a read-only mirror of the CRAN R package repository. SIMEXBoost — Boosting Method for High-Dimensional Error-Prone Data
SIMEXGLM
An R package implementing the SIMEX procedure for classical additive measurement errors
shufessm's Repositories
shufessm/Local-Linear-Estimation
I implement the local linear estimation described in Hansen's Econometrics.
shufessm/Parameter-selection-for-Nonparametric-regression
This repository involves many parameter selection criteria for the smoothing parameter selection for the five smoothing method that are kNN regression, Kernel smoothing, Local linear regression, B-spline, truncated power basis splines and smoothing splines.
shufessm/SIMEXBoost
:exclamation: This is a read-only mirror of the CRAN R package repository. SIMEXBoost — Boosting Method for High-Dimensional Error-Prone Data
shufessm/SIMEXGLM
An R package implementing the SIMEX procedure for classical additive measurement errors
shufessm/Absolute-penalty-strategies-based-on-local-polynomials-for-censored-partially-linear-regression
shufessm/AdvancedMathematicalStatistics20211
shufessm/applied_metrics
A PhD course in Applied Econometrics and Panel Data
shufessm/ar2023
shufessm/conformal
Tools for conformal inference in regression
shufessm/Econ5150
Econ5150@CUHK
shufessm/elements-of-statistical-learning
Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman
shufessm/Estimation-of-the-ROC-curve
Created a model to estimate the measurement error existing in ROC curves - Measurement Error model, Bernstein polynomial Model, Contaminated Non-parametric Density Estimation, MLE, EM Algorithm, R
shufessm/faraway
R package, scripts and documentation supporting R books by Julian Faraway
shufessm/GMM
A sandbox for studying GMM!! I will upload coding files to implement GMM estimations described in Hansen's Econometrics and some seminal papers!! Also I am going to upload simulation codings to explrore/discover some useful features of GMM!!
shufessm/MASTA
https://celehs.github.io/MASTA/
shufessm/MFPCA
Multivariate Functional Principal Component Analysis
shufessm/Missing-data-and-measurement-error
Supplementary material and reproducible research files for article “A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations” by Emma Skarstein, Sara Martino and Stefanie Muff.
shufessm/Multi-Response-Semiparametric-Additive-Model-esstimators
Functions for Local polynomial based semiparametric estimators
shufessm/new_mfpca
Modify the function mfpca() in R
shufessm/openintro-statistics-slides
👩🏻🏫 Slides for OpenIntro Statistics
shufessm/Outcome-Error-RC
Code for simulation studies in "An approximate quasi-likelihood approach for error-prone failure time outcomes and exposures", Boe et al. (2021) (https://doi.org/10.1002/sim.9108)
shufessm/Post-shrinage-estimators-for-high-dimensional-semiparametric-models
Post-shirnakge strategy for high-Dimensional Partially linear model based on smoothing splines
shufessm/regressionananlysis
shufessm/ResEcon703
Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman
shufessm/Rfit
Rank-Based Estimation for Linear Models
shufessm/RStudioMeetup_FDA
Intro to Functional Data Analysis - Part 2 RStudio Meetup Talk
shufessm/sandwich2stagesims
Code for simulation studies in paper, "Practical Considerations for sandwich variance estimation in two-stage regression settings", Boe, Lumley, and Shaw
shufessm/SHLoS-R-Code
This is an implementation of the method proposed in Liang W., Zhang, Q., and Ma, S. (2022) for estimating a locally sparse and hierarchical estimate for a partially functional interaction quantile regression model. In addition, the mean regression counterpart is provided. An example is also demonstrated.
shufessm/shufessm
Config files for my GitHub profile.
shufessm/ubw_notes
Notes by html