Kyumin Kim | Technical Showcases

Welcome to my technical showcase! This page demonstrates the various technical skills and tools I use for my own fun projects and research. Here you'll find a collection of technical experiments and explorations that showcase my proficiency in dynamic optimization, econometric estimation, machine learning, and data analysis. These are just brief demonstrations — not rigorous academic papers — but rather quick showcases of my technical toolkit in action. From dynamic programming implementations to Monte Carlo simulations and predictive modeling, each project gives you a glimpse of the computational methods I can apply. Think of this as my technical portfolio where I show what I can do, rather than formal research outputs.

Dynamic Optimization, Uncertainty and Risk Management in Natural Resource Economics

Exploring dynamic programming approaches and risk management strategies in fisheries decision-making under uncertainty.

Solving a Dynamic Problem: Fisheries Management with Dynamic Programming: Series 1Dynamic programming, Bellman equation, value function iterationDynamic optimization, Fisheries management, Sustainable resource use

Optimal Fisheries Management Under Uncertainty: Using Stochastic Dynamic Programming: Series 2Stochastic dynamic programming, Monte Carlo integration, climate riskUncertainty handling, Risk management, Stochastic optimization

Optimal Tree Harvesting under Price Uncertainty: A Small Dynamic-Programming Example by Markov-Transition Matrix (MTM): Series 3Markov transition matrix, price uncertainty, optimal harvestingPersistent uncertainty, Threshold policies, Natural resource economics

Econometrics, Machine Learning, and Prediction

Machine Learning

A Friendly Introduction to Machine Learning: Purpose, Validation, and the Bias–Variance Tradeoff: Series 1Machine learning fundamentals, cross-validation, bias-variance decompositionPrediction vs. causal inference, K-fold CV, Model evaluation

A Friendly Introduction to Shrinkage Estimators: Ridge, LASSO, Elastic Net, and the Adaptive LASSO: Series 2Shrinkage methods, regularization, variable selection, oracle propertyRidge regression, LASSO, Elastic Net, Adaptive LASSO

Econometrics

Content coming soon...

Sustainability, Emission, and Uncertainty

A series exploring the intersection of fisheries management, carbon emissions, and economic uncertainty through bioeconomic modeling and Monte Carlo simulation.

Optimal Fishing Management Under Emission Cost in Korean Fisheries: Series 1Optimal fishing efforts, emission cost, and bioeconomic analysisEconomic optimal decision, Fisheries management, GHG Emission cost

Fisheries and Emission Cost: Addressing Economic Uncertainty through Monte Carlo Simulation: Series 2Economic optimal decision, Economic uncertainty, Monte Carlo simulationEconomic optimal decision, GHG emission cost under uncertainty, Monte Carlo simulation