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Faculty of Economics

Teaching, Learning & Innovation Fund Award 

Dr. Flavio Toxvaerd has been awarded a grant by the Teaching, Learning & Innovation Fund. Dr. Toxvaerd's project is "Understanding economic models through interactive graphs: a platform for visualisation and independent student experimentation using Mathematica".

Published on - Monday 28th October 2019

Tags:

Models

Modelling

Software



New Directions in Quantile Regression 

Quantile regression is a comprehensive ensemble of statistical techniques for estimating models for conditional quantile functions. This conference will bring together leading contributors to the quantile regression literature to discuss recent developments, raise open problems and consider future research challenges.

Event Date - Thursday 10th December 2015 - Friday 11th December 2015

Tags:

Quantile Regression

Estimation

Models



Prof. Giancarlo Corsetti "Metaphors and Models of the Eurozone Crisis" 

Professor Giancarlo Corsetti will be giving the Edgeworth Lecture on "Metaphors and Models of the Eurozone Crisis", at the 29th Annual Irish Economic Association Conference, on May 8th 2015. Read More>>

Published on - Friday 8th May 2015

Tags:

Models

Eurozone

EU



Masterclass with Wolfgang Härdle 

Cambridge-INET will be hosting a Masterclass with Prof. Wolfgang Härdle (Federal Reserve) at the Winstanley Theatre, Trinity College, Cambridge, on the 28th - 29th May 201=4, from 09.30am - 6.00pm. Please register you interest.

Published on - Wednesday 28th May 2014

Tags:

Time Series

Models

Time-varying

non-Gaussian



Masterclass with Marc Hallin 

Cambridge-INET will be hosting a Masterclass with Prof. Marc Hallin (Emeritus Professor of Statistics at the Mathematics Department of the Université libre de Bruxelles and the European Center for Advanced Research in Economics and Statistics.) in the Keynes and Meade Room, Faculty of Economics Cambridge, on the 17th - 19th February 2014.

Published on - Saturday 1st February 2014

Tags:

Time Series

Dynamics

Models




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