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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
In-depth Report on Core Principles of DeepSeek and GPT Technologies
Published:
DeepSeek and GPT Core Technology Principles In-Depth Research Report
In-depth Report on the Training Process of Large Models and Core Fine-Tuning Methods
Published:
Deep Research Report on Large Model Training Processes and Core Fine-Tuning Methods
Mathematical Methods and Their Physical Implementation in Intensity-Modulated Radiation Therapy
Published:
Mathematical Methods and Their Physical Implementation in Intensity-Modulated Radiation Therapy
portfolio
Machine Learning Approaches to Predict Crime Rate in the City of Los Angeles
Published:
Poster presentation exploring crime rate prediction in Los Angeles using multiple machine learning algorithms.
Predicting Loan Approval with LASSO Logistic Regression
Published:
End-to-end pipeline for loan-approval prediction: EDA, interaction diagnostics, LASSO feature selection with 5-fold CV, thresholding to control FPR.
Forecasting Used Cars & Trucks CPI: Regression vs. ARIMA
Published:
Comparative analysis of OLS, WLS, and ARIMA models to forecast U.S. Used Vehicle CPI. The study identifies ARIMA(0,1,2) as the optimal model for short-term prediction, outperforming macroeconomic regression approaches.
Bayesian Hierarchical Modeling of Serious Crime Rates (LAPD 2024–2025)
Published:
Hierarchical Beta-Binomial model implemented in JAGS to estimate serious crime probabilities across 21 LAPD areas, using Gibbs sampling to stabilize estimates for high-variance districts.
publications
Wavelet Coherence Approach Linking Russo-Ukrainian War, Oil Prices, Geopolitical Risk, Stock Market, and Policy Uncertainty in the Global Economy
Published in 2023 International Conference on Education, Management, Economics and Social Science (ICEMESS 2023), 2023
This study employs wavelet coherence analysis to uncover the dynamic interdependence between geopolitical risk, policy uncertainty, oil prices, and global stock markets during the Russo-Ukrainian War.
Recommended citation: R. Zhang, Y. Shi, and X. Song (2023). "Wavelet Coherence Approach Linking Russo-Ukrainian War, Oil Prices, Geopolitical Risk, Stock Market, and Policy Uncertainty in the Global Economy." *Proceedings of the 2023 International Conference on Education, Management, Economics and Social Science (ICEMESS 2023)*. DOI: 10.23977/ICEMESS2023.114.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.