Pinned Repositories
accbpg
Accelerated Bregman Proximal Gradient Methods
advanced-text-analysis-2
apgpy
Accelerated proximal gradient package in python
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
applied_metrics
A PhD course in Applied Econometrics and Panel Data
blp
BLP-1
blp-demand
estimate BLP demand model in Matlab using state-of-the-art techniques
BLP-Python
BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)
Courses
MOSEK reletated course material
zjt9101's Repositories
zjt9101/advanced-text-analysis-2
zjt9101/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
zjt9101/applied_metrics
A PhD course in Applied Econometrics and Panel Data
zjt9101/dask-examples
Easy-to-run example notebooks for Dask
zjt9101/dask-tutorial
Dask tutorial
zjt9101/DavisDingelMonrasMorales
Replication package for "How Segregated Is Urban Consumption?"
zjt9101/doubleml-for-py
DoubleML - Double Machine Learning in Python
zjt9101/estimating-dynamic-corporate
Source code for Bazdresch, Kahn, Whited "Estimating and Testing Dynamic Corporate Finance Models"
zjt9101/GlobalFactor
zjt9101/Grad-IO
Graduate Empirical Industrial Organization
zjt9101/gslab_make
Python tools for GSLab
zjt9101/introduction_to_data_mining
Introduction to data mining, Fall 2021 by Kaihua Ding
zjt9101/IntroGitHub
RCC workshop May25 Intro Materials
zjt9101/ipca
Instrumented Principal Components Analysis
zjt9101/kiltsnielsen
Python utilities for working with Kilts-Nielsen files
zjt9101/midasml
midasml package is dedicated to run predictive high-dimensional mixed data sampling models
zjt9101/midasr
R package for mixed frequency time series data analysis.
zjt9101/modeling-examples
Gurobi modeling examples
zjt9101/modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
zjt9101/neverhpfilter
R package recreating econometric methods proposed in "Why You Should Never Use the Hodrick-Prescott Filter" by James Hamilton
zjt9101/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
zjt9101/projecttemplate
Common starting point for research projects
zjt9101/python-best-practices
RCC workshop: Best coding practices for Python projects
zjt9101/quantgen
Tools for generalized quantile modeling
zjt9101/simanneal
Python module for Simulated Annealing optimization
zjt9101/SpatialAnalysis_R
This training course introduces geospatial concepts and basic package for handling geographic data.
zjt9101/template_gentzkow
zjt9101/template_gslab
zjt9101/templates
Templates of all kind
zjt9101/transformer-models
Deep Learning Transformer models in MATLAB