Perform history matching with emulation in an easy and efficient way using hmer
In this two-day online workshop, we will introduce you to the history matching and emulation framework, and guide you through using the technique to calibrate both deterministic and stochastic models (including models with bimodal behaviour) using hmer. The first day of the workshop will deal with the calibration of deterministic models and will therefore be very similar to the workshop “An Introduction to History Matching with Emulation using the R-package hmer” held 24 May 2022 or 17 November 2022. If you took part in either, you can join this workshop directly on the second day, when stochastic models will be analysed.
The workshop will be run by a combination of members of the Centre for Mathematical Modelling of Infectious Diseases at the London School of Hygiene and Tropical Medicine, of Durham University and of the University of Exeter. It will consist of hands-on, practical tutorials, interspersed with short presentations.
Link to register for deterministic day: here
Link to register for stochastic day: here
Due to the high number of registrations for the workshop on 17-18 November (see below), this will be a repeat of the workshop for interested participants who could not sign up for the earlier workshop. The material covered and the programme will be the same in both workshops.
Click here to register for the 8-9 December workshop.
In this two-day online workshop, we will introduce you to the history matching and emulation framework, and guide you through using the technique to calibrate both deterministic and stochastic models (including models with bimodal behaviour) using hmer. The first day of the workshop will deal with the calibration of deterministic models and will therefore be very similar to the workshop “An Introduction to History Matching with Emulation using the R-package hmer” held 24 May 2022. If you took part in that, you can join this workshop directly on the second day, when stochastic models will be analysed.
The workshop will be run by a combination of members of the Centre for Mathematical Modelling of Infectious Diseases at the London School of Hygiene and Tropical Medicine, and external speakers from Durham University and the University of Exeter. It will consist of hands-on, practical tutorials, interspersed with short presentations.
1st day | |
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13:00 | Welcome |
13:15 | Introduction to History Matching with Emulation |
14:15 | Guided R-practical on the calibration of deterministic models (part 1) |
15:45 | Break |
16:00 | Guided R-practical on the calibration of deterministic models (part 2) |
17:30 | End |
2nd day | |
---|---|
13:00 | Welcome |
13:15 | History Matching with Emulation and stochastic models |
14:15 | Guided R-practical on the calibration of stochastic and bimodal models (part 1) |
15:45 | Break |
16:00 | Guided R-practical on the calibration of stochastic and bimodal models (part 2) |
17:30 | End |
This day-long, in-person workshop took place on May 24th 2022 at the London School of Hygiene and Tropical Medicine (WC1E 7HT, Keppel Street Building, room LG07).
Participants were introduced to the history matching and emulation framework, and learnt how to implement the technique to calibrate models using hmer. In the workshop, we focused on calibrating deterministic models and briefly discussed calibrating to the mean of stochastic model runs.
The workshop was run by a combination of members of the Centre for Mathematical Modelling of Infectious Diseases at the London School of Hygiene and Tropical Medicine, and external speakers from Durham University and the University of Exeter. It consisted of hands-on, practical tutorials, interspersed with short presentations.
Time | |
---|---|
10:30 | Welcome (coffee and tea) |
11:00 | Introduction to History Matching with Emulation (Presentation) |
12:00 | Lunch break |
13:00 | Guided R-practical on the calibration of deterministic models (part 1) |
14:30 | Coffee and tea break |
15:00 | Guided R-practical on the calibration of deterministic models (part 2) |
16:30 | Brief discussion on the calibration of stochastic models |
17:00 | Final discussion - feedback from participants |
17:30 | End |