mishrad Goto Github PK

micro-metrics

This is a 2nd Year PhD Course In Micro-econometrics

microdatamatlab

Functions and scripts associated with the book Microdata and MATLAB (Adams, Clarke, Quinn)

minimal-latex-cv

Minimal resumé template written in LaTeX. Just black and white making it printable without problems.

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

ml-workshop-2-of-4

Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

ml-workshop-3-of-4

Advanced Machine Learning with Scikit-learn part I

ml-workshop-4-of-4

Advanced Machine Learning with Scikit-learn part II

mle_phd_oslo

mmintro

User-written MATLAB code/solutions for the chapter exercises in Microeconometrics and MATLAB: An Introduction by Adams, Clarke and Quinn (2015). Solutions are unverified and sometimes incomplete. Authors' code is necessary in some files (http://www.microeconometrics-code.com/code/). Comments welcome at [email protected]

models

Models and examples built with TensorFlow

mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

numerical-methods

Graduate level course on numerical methods for economists

ose2019

osm_lab

Introduction to parallel programming in economics and finance

presentations

Student presentations outline template

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pyeconomics

Computational economics in Python

quantecon.applications

A repository that houses example code, applications and teaching material related to QuantEcon

quantitativeprimer

An Interview Primer for Quantitative Finance

quantmarketing

Python code to assignments at Foundations of Advanced Quantitative Marketing course

r-tutorial

A tutorial for learning to program in R.

research_documents_curation_with_nlp

Applied Finance Project from UCLA Anderson, using natural language processing techniques to classify and summarize quantitative finance research papers

respy

Framework for the simulation and estimation of some finite-horizon discrete choice dynamic programming models.

simon_hpc

Introduction to parallel programming in economics and finance

spring-2020

Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods

structest_w17

MACS 40200: Structural Estimation

structest_w18

MACS 40200 (Winter 2018): Structural Estimation

structest_w19

MACS 40200 (Winter 2019): Structural Estimation

surf

Surf - an entity mapping and resolution system for Indian names