tanmoyie / Applied-Statistics
Reference materials of "Probability & Statistics" IPE 205 course
☆22Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Applied-Statistics
- This repository holds all course materials for the fall 2018 offering of Statistics 243 at UC Berkeley.☆17Updated 5 years ago
- Repository for the Statistical Modeling & Causal Inference 2020-I Tutorial☆28Updated 4 years ago
- Course materials for Stat 243, fall 2016, at UC Berkeley☆9Updated 7 years ago
- Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"☆19Updated 7 years ago
- ☆42Updated 4 years ago
- This course will provide a basic, yet rigorous, introduction to Time Series Econometrics. This course is intended for upper-level undergr…☆15Updated 5 years ago
- timeseries prediction using dynamic linear models and LSTM☆13Updated 7 years ago
- R Code to accompany "A Note on Efficient Fitting of Stochastic Volatility Models"☆10Updated last year
- Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"☆19Updated 9 years ago
- ☆14Updated 7 years ago
- ☆10Updated last year
- User-written MATLAB code/solutions for the chapter exercises in Microeconometrics and MATLAB: An Introduction by Adams, Clarke and Quinn …☆15Updated 6 years ago
- Operations Research Tutorial with Python☆8Updated 2 years ago
- Public files for Econ 103☆14Updated last year
- Course materials for Stat 20 and Stat 131A, Spring 2017, at UC Berkeley☆17Updated 7 years ago
- MATH/STAT 4540/5540 Introduction to Time Series, spring 2022☆8Updated last year
- Introduction to Scientific Python☆14Updated 5 years ago
- Hypothesis testing (Parametric/Non-Parametric)☆11Updated 5 years ago
- Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Bin…☆10Updated 6 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆19Updated 9 months ago
- Materials for Applied Machine Learning Taught in Python☆36Updated last year
- Regression model building and forecasting in R☆30Updated last month
- MAPA package for R☆16Updated last year
- PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing☆10Updated 3 years ago
- BUS 41204: Machine Learning -- Winter 2016☆11Updated 7 years ago
- Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.☆20Updated 5 years ago