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Applied Bayesian Econometrics for Central Bankers in R
Code Examples from Blake and Mumtaz Applied Bayesian Econometris for Central Bankers book
Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
Automatic forecasting and Bayesian modeling for time series with Stan
Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations
This repo contains scripts from my masters thesis "A Bayesian cointegration testing procedure with conditional prior odds"
Barcelona GSE Macroeconometrics Summer School 2018 courses
R code for paper 'Bayesian model selection for unit root testing with multiple structural breaks'
Bayesian Estimation of Markov-Switching VARs for Granger Causal Inference in R
Bayesian Estimation of Markov-Switching VARs for Granger Causal Inference in R
BVARs
An adaptive MCMC algorithm for Bayesian Threshold CAViaR model
Bayesian methods for Vector Autoregressive Model
The Bayesian Estimation, Analysis and Regression toolbox (BEAR) is a comprehensive (Bayesian Panel) VAR toolbox for forecasting and policy analysis.
Toolbox for the estimation of Bayesian Global Vector Autoregressions in R.
:exclamation: This is a read-only mirror of the CRAN R package repository. BHSBVAR — Structural Bayesian Vector Autoregression Models
A binder environment for ATSA material. Make sure to read the wiki (tab to left) to read about my pain points.
Bayesian Macroeconometrics C++ Library
Bayesian Macroeconometrics in R
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
:exclamation: This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series
Bayesian Estimation of Structural Vector Autoregressive Models
Bayesian estimation of heteroskedastic Structural Vector Autoregressions with Markov-switching structural matrix
A set of functions for BVAR estimation
BVAR with wishart prior
Tools for estimating BVAR models, producing forecasts, and reporting results. Based on the review in Karlsson (2013).
r package for bayesian VARs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.