Bayesian Macro-Economics Modelling with MATLAB

Bayesian Macro-Economics Modelling with MATLAB
PRMIA Poland presents Bayesian Macro-Econometrics Modelling with MATLAB.

 

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 Speaker

 

Date:

June 4, 2019

Time:

6:00pm - 7:30pm

Location:
Credit Suisse Warsaw Office
Pereca 1
Warsaw 00-849


In recent years, Econometricians have become increasingly interested in Bayesian analysis. This is not surprising because researchers often have some prior knowledge about parameters of interest, and this can be incorporated when using a Bayesian estimation approach. In addition, Bayesian analysis provides a more natural interpretation of results in terms of probabilities. In this technical seminar, Gyang will introduce some basic concepts in Bayesian analysis and will focus on how to perform Bayesian Macro-Econometrics Modelling with MATLAB, including:

  • Introduction to Bayesian Inference
  • Bayesian estimation of DSGE models
  • Bayesian analysis of Vector Autoregressions

Speaker
 
Guangyuan Yang
, MathWorks, Senior Application Engineer, Cambridge, UK
Guangyuan advises customers in financial services industry to apply MATLAB tools to develop and deploy econometrics and risk analytics applications. He has an econometrics background and is a certified Financial Risk Manager (FRM) with 4 years of experience in risk management. He graduated in Economics with Bachelor’s and Master’s degrees at University of Amsterdam and Tinbergen Institute, and did a PhD in Econometrics and Management Science at Erasmus University Rotterdam.


Registration

This event is FREE for members and non-members, although registration is required.  Click "Register Myself" below to reserve your spot. Make sure to click "Continue" to proceed with your registration. (If this is your first time accessing the PRMIA website you will need to create a short user profile to register.) Support chapter events like this by becoming a member

 
When
6/4/2019 12:00 PM - 1:30 PM
Eastern Daylight Time
Where
Credit Suisse Warsaw Office Pereca 1 00-849 WARSAW POLAND

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