Skip to content
Toggle Menu
Journal
Research
Ranking
Square
Books
About GIAI
Light
Dark
Search
Toggle Menu
Light
Dark
Search for:
Search
Loading...
Home
Books
Updated on August 29, 2024
Books
Estimated reading: 0 minutes
SIAI Lecture Notes
SIAI Yearbook
Tagged:
Books
Next - Books
Docs
Related articles
Hyeyoung Park (MBA, 2023)
Data Management
Class 6. Endogeneity 2 – Correlation between errors and regression
Class 6. Recurrent Neural Network
Class 4. First-order differential equations (FODE)
Class 2. Bellman equations
Class 2. Basic statistics
Class 5. Simulations
AI in Digital Marketing
Probabilistic Graphical Models
Class 7. Summary of Math & Stat for MBA I
Class 1. Approximations and computational cost
Law and AI
Class 4. Time series II – Seasonality and frequency
Class 1. Basic statistics
Information Theory
Class 3. Data grouping
Class 8. Summary of Math & Stat for MBA II
Class 1. Large sample properties and maximum likelihood
AI in Asset Management
AI Business Cases
Class 3. Time Series – ACF and PACF
Class 8. Summary of Math & Stat for MBA I
SIAI Lecture Notes
Jeonghun Song (MSc, 2023)
Class 6. Bayesian statistics
Data-based Decision Making
Mincheol Kim (MSc, 2023)
Class 3. Fourier transform
Class 7. Large Language Model (LLM)
Class 5. Endogeneity – Correlation between errors and regressors
Scientific Programming
Social Network Analysis
Class 2. Generalized least square
Bohyun Yoo (MBA, 2023)
Sungsu Han (MBA, 2024)
Class 6. Variance reduction
Yeonsook Kwak (MBA, 2024)
Class 3. Hamiltonian analysis
Class 3. MCMC and Bayesian extensions
Class 1. Introduction to deep learning
Class 6. Endogeneity – Measurement error
Jeongwoo Park (MSc, 2023)
Class 4. Ensemble
Reinforcement Learning
Game Theory
Deep Learning
Math & Stat for MBA I
Class 5. Image recognition
Class 2. Autoencoder
Class 8. Summary of Scientific Programming
Class 4. Boltzmann machine
Class 8. Summary of Data-based Decision Making 2
Class 2. Consumer choices
Bayesian Statistics II
Class 7. Summary of Data-based Decision Making 1
Class 7. Deep Generative Models
Class 6. Factor analysis
Class 4. Finite differences
Class 8. Summary of Machine Learning
Class 6. Policy-based optimization
Regression Analysis III
Advanced Deep Learning
Class 1. Comparative advantage
Data Visualization
Class 7. Artificial Neural Network
Bayesian Statistics I
Class 1. Regression problems
Class 4. ANOVA to Multivariate regression
SIAI Yearbook
Donggyu Kim (MBA, 2024)
Class 2. Exact matching via quadrature
Hyoung Keun Kwon (MSc, 2024)
Math & Stat for MBA II
SIAI Yearbook – 2023
Class 5. Dimensionality reduction
Class 3. Basic statistics
Class 7. Summary of Math & Stat for MBA II
Panel Data Analysis
Regression Analysis II
Class 2. Classification
Regression Analysis I
Advanced Reinforcement Learning
Class 3. Causality in data science
Class 8. Summary of Deep Learning
Class 5. Probability models
SIAI Yearbook – 2024
Machine Learning
AI in Corporate Finance
Class 1. Introduction to intertemporal optimization
Class 5. Simulation and Bayesian
Class 5. Value-based optimization
Class 8. Summary of Reinforcement Learning
Class 7. Optimization methods
Class 4. Basic time series regression analysis
Games with Incomplete Information
See More
Share this Doc
Books
Or copy link
A-
A
A+
CONTENTS
Scroll to top
Scroll to top
Toggle Menu Close
Journal
Research
Ranking
Square
Books
About GIAI
Journal
Research
Ranking
Square
Books
About GIAI
Toggle Menu Close
Search for:
Search