BoostOlive

BoostOlive's Stars

• BoostOlive/pythonmondragon

  just a set of useful random short projects done in python

  1

• mondragon-developer/pythonmondragon

  just a set of useful random short projects done in python

  Language:HTML11

• JuliaLang/juliaup

  Julia installer and version multiplexer

  Language:Rust1k86

• SacklerCentre/MVGC1

  The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.

  Language:MATLAB4725

• rstudio/tensorflow

  TensorFlow for R

  Language:R1.3k321

• olhdtsmgnew/Portable-STATA-17-MP-Full-Version

  Portable STATA 17 MP Full Version Visit http://bit.ly/STATA17MP

  21

• BoostOlive/Research-Codes

  For storing various implemented research codes

  1

• michaelkirker/Sectoral-Factor-Model-Code

  Model code for the model described the paper "What Drives Core Inflation? A Dynamic Factor Analysis of Tradable and Nontradable Prices"

  Language:Matlab57

• NCiccarelli/Quasi_Maximum_Likelihood_Estimation_of_the_GARCH_Model_Using_Matlab

  Quasi Maximum Likelihood Estimation of the GARCH Model with Matlab

  Language:Matlab13

• hschuett/BayesForAccountingResearch

  Companion repository to the paper "What Can Bayesian Inference Do for Accounting Research?". The website (https://hschuett.github.io/BayesForAccountingResearch/) is based on this repo

  Language:R41

• sradgowski/bayesian-stats

  Statistical models and proofs done for my Bayesian Statistics and Markov Chain/Monte Carlo class at Yale. Original problem statements and prompts available upon request!

  Language:R11

• stappit/blog

  I often post solutions to textbook exercises, including: Bayesian Data Analysis (BDA) by Gelman et al; Causal Inference in Statistics Primer (CISP) by Pearl et al; Purely Functional Data Structures (PFDS) by Okasaki.

  Language:HTML62

• rakibhhridoy/EasyWayDiveInto-DataScience

  Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

  Language:Jupyter Notebook12

• ChiaJung-Yeh/Spatial-Analysis

  A bookdown book on how to conduct spatial analysis on R.

  Language:HTML51

• VABAR/vibass

  R-package for the introductory course on Bayesian inference at the València International Bayesian Summer School

  Language:R61

• BoostOlive/BayesianFactorModels.jl

  1

• birodaniel8/bayesian_dynamic_factor_model

  Language:MATLAB44

• Tomohiro-Ando/PDMIF

  Language:R78

• BoostOlive/AdvancedEconometrics

  Warsaw School of Economics, PhD course

  1

• kaftanowicz/AdvancedEconometrics

  Warsaw School of Economics, PhD course

  11

• shengzhang0830/PhD_Econometrics

  Stata, R

  Language:Stata12

• lukas-jue/econometrics-phd

  Repository for the tutorial R scripts in Advanced Econometrics

  Language:R21

• pereiragc/Rtoolkit

  Language:R11

• pereiragc/doom-emacs

  An Emacs framework for the stubborn martian hacker

  1

• pereiragc/rouwenhorst

  Julia implementation of Rouwenhorst's algorithm for discretizing AR(1) processes

  Language:Julia2

• pereiragc/pnad-clean

  Part of Maya and Pereira (2020) replication package

  Language:R11

• pereiragc/IntroMetrics-TA

  TA repo for PhD introduction to econometrics course (GR6411)

  Language:Julia21

• BoostOlive/Best-Subset-Binary-Prediction

  Matlab codes for the best subset binary prediction method

  1

• BoostOlive/AntiRansom

  Fighting against ransomware using honeypots

  1

• BoostOlive/NxRansomware

  A next generation of ransomware. Fully written using a .Net Framework + C&C System

  1