The aim of the Summer School is to provide an overview of cutting-edge research and methodologies in econometrics and applied macroeconometrics, and to offer opportunities to PhD students/early career researchers for interactions and exchange of ideas via poster presentations and a limited number of regular presentations. Participation in the event is free of charge. Participants are expected to attend the entire event. This event is supported by the Department of Economics at Lancaster University, ESRC NWSSDTP, the Centre for Financial Econometrics, Asset Markets and Macroeconomic Policy and Timberlake Consultants.
10am-12noon:
An Overview of Bayesian Econometrics
Bayesian Inference in the Normal Linear Regression Model
2pm-4pm:
Bayesian Methods for Regression Models with Big Data
Bayesian VARs
10am-12am: Bayesian State Space Modelling
2pm-4pm: Regional Nowcasting using a Mixed Frequency VAR
For programme details of the last summer schools, follow the links below:
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Our new short training courses in Machine Learning were introduced in 2019, as part of our efforts to ensure that the services we offer meet the varying demands of our customers, wherever they are located around the world.