Bayesian Methods for Forecasting in Macroeconomics & Finance with GAUSS (London UK - December)
Timberlake Consultants (London, United Kingdom)
Start date: Dec 03, 2012
End date: Dec 05, 2012
Application Deadline: Nov 26, 2012
Type of Course: Professional Training
Study Options: not specified
Entry Requirements: A good understanding of the classical linear regression model and of basic concepts in probability and time series analysis. Experience in Gauss programming is not a prerequisite but would be advantageous.
Course Fees: GBP 600-1350
Date of appearance on November 19, 2012
URL for further information: http://bit.ly/T76APY
The outstanding ability of Bayesian methods in forecasting has been known since the works of Litterman (1979) and Doan, Litterman, and Sims (1984), but only recently these methods have become widely used thanks to the improvement of computing power. This course aims at providing the basic tools to produce forecasts of financial and macroeconomic data using Bayesian methods.
The Bayesian approach offers three main advantages. First, they are particularly well suited in handling very large cross-sections of data, even when the time series available are short. Second, they offer a theoretically grounded way to impose judgmental information and a-priori beliefs in the forecasting model. Third, they provide a natural environment to produce forecasts of the whole distribution of a time series, i.e. fan charts.
Day 1 - Introduction to Bayesian forecasting
Day 2 - Forecasting with large datasets
Day 3 -Advanced topics
Who should attend
Who should attend: The course is designed for applied economist and econometricians who are required to use time-series methods and in particular Bayesian techniques for time series analysis and forecasting.
Cost (per participant): Early/Late Registrations
• Commercial/Government £1080.00 £1350.00
• Academic/Non-profit research £840.00 £1050.00
• Student registrations £600.00 £720.00
All costs exclude local taxes, where applicable
Late Registrations: Registrations made within 6-weeks before the start of the course
Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrollment)
Additional discounts are available for multiple registrations
Cost includes course materials, lunch, refreshments and use of computers (please advise us if you have any dietary requirements)
The number of delegates is restricted. Please register early to guarantee your place.
If you need assistance in locating hotel accommodation in the region, please notify us at at the time of booking.
We welcome delegates to find out more and register for the course by contacting our sales and training team either by email: firstname.lastname@example.org, phone: +44 (0) 20 8697 3377 or by filling out an online registration form.
Terms & Conditions
Payment of course fees required prior to the course start date.
Registration closes 5-calendar days prior to the start of the course.
No fee returned for cancellations made less than 14-calendar days prior to the start...
See www.inomics.com for latest entries.