heming0425,Ming,github

Education ------------------------------------------------------------- Renmin University of China | Master | 2022 - Present School of Statistics Research Interests: Statistical Modeling, Model Selection, Causal Inference Renmin University of China | Bachelor (Double Degree) | 2016 - 2020 School of Statistics [Applied Statistics] School of Information and Resource Management [Information Resource Management] Publication ------------------------------------------------------------- Gao S, Deng H, Wen S, Wang Y. Effects of accelerated biological age on depressive symptoms in a causal reasoning framework. J Affect Disord. 2023 Oct 15;339:732-741. doi: 10.1016/j.jad.2023.07.019. Epub 2023 Jul 11. PMID: 37442448. Link Software ------------------------------------------------------------- R Package: [mcb] Model Confidence Bounds Link R Package: [uotm] Uncertainty of Time Series Model Selection Methods Link

Ming's Projects

file_check_function

This tool can quickly check the differences between any two Excel data files. You can run it directly, or package it with the file app.spec.

heming0425

Config files for my GitHub profile.

model_confidence_bound

The MCB for variable selection identifies two nested models (upper and lower confidence bound models) containing the true model at a given confidence level.

uncertainty_of_time_series_model

We propose a new procedure, called model uncertainty variance, which can quantify the uncertainty of model selection on Autoregressive Moving Average models. The model uncertainty variance not pay attention to the accuracy of prediction, but focus on model selection uncertainty and providing more information of the model selection results.