Details view: Lecture 3: Assessing model performance

Views
Add
Edit
- Edit page
- Delete page
Share
Login
- Member login
- Register now for a free account
🔎

Lecture 3: Assessing model performance Event1 #718065 2023 AARMS-EIDM Summer School, Lecture 3 "Assessing model performance" by James Watmough as part of Course 2. Data, models, and decision support.

Immediately related elementsHow this works

EIDM »EIDM EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7

▲

Networks »NetworksNetworks☜Learn more about the five EIDM networks: CANMOD, MfPH, OMNI, OSN, and SMMEID.☜79B9B9

▲

CANMOD »CANMOD CANMOD ☜CANadian Network for MODelling infectious Disease / Réseau CANadien de MODélisation des maladies infectieuses☜79B9B9

▲

CANMOD – Training »CANMOD – TrainingCANMOD – Training☜We are building expertise amongst the next generation of infectious disease modellers, and preparing them for careers in academia, industry, and the public sector.☜AECCD8

▲

23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases »23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases☜Organizer: Dr. A. Hurford, Dates: August 19-31, 2023, Venue: Bonne Bay Aquarium and Research Station (BBARS), Newfoundland and Labrador (NL).The AARMS-EIDM Short Summer School on Modelling Infectious Diseases aims to fulfil a deliverable listed in the Atlantic Association for Research in the Mathematical Sciences (AARMS) support letter for 3 networks in the Emerging Infectious Disease Modelling Initiative (EIDM) Consortium: to run an AARMS summer school.☜E883B6

▲

2023 Summer School in EIDM Course 2: Data, models and decision support »2023 Summer School in EIDM Course 2: Data, models and decision support2023 Summer School in EIDM Course 2: Data, models and decision support☜This course teaches the technical skills to parameterize dynamical systems models in ecology and evolution and quantify prediction uncertainty. The course examines case studies to understand the use of models in decision support.☜E883B6

■

Lecture 3: Assessing model performanceLecture 3: Assessing model performance☜2023 AARMS-EIDM Summer School, Lecture 3 Assessing model performance by James Watmough as part of Course 2. Data, models, and decision support.☜E883B6

►

James Watmough »James WatmoughJames Watmough☜Professor in the Department of Mathematics and Statistics at the University of New Brunswick.☜FFFACD

Heading

Summary

Click the button to enter task scheduling information

Details

Enter task details

Message text

Select assignee(s)

Due date (click calendar)

RadDatePicker

Open the calendar popup.

Calendar

Title and navigation
Title and navigation
<<	<	July 2024	>	<<

July 2024
	S	M	T	W	T	F	S
27	30	1	2	3	4	5	6
28	7	8	9	10	11	12	13
29	14	15	16	17	18	19	20
30	21	22	23	24	25	26	27
31	28	29	30	31	1	2	3
32	4	5	6	7	8	9	10

Reminder

Ready to post Copy to text

Task assignment(s) have been emailed and cannot now be altered

Lock

Comment graphing options

Choose comments:Comment onlyWhole threadAll comments

Choose location:To a new mapTo this map

New map options

Select map ontology Graph to private map

+Commentaires (0)

- CommentairesAjouter un commentaireNewest firstOldest firstShow threads

+Citations (1)

- CitationsAjouter une citationList by: CiterankMap

Link[1] Lecture 3: Assessing model performance - Slides

En citant: James Watmough
Publication date: 26 August 2023
Cité par: David Price 3:56 PM 18 February 2024 GMT
URL:

https://debategraph.org/handler.ashx?path=ROOT%2fu2928%2fBBSchool09-assessing-model-performance.pdf&att=1

Extrait -

Overview:

(1) Holistic vs reductionist

• keep in mind what your model is assuming and what it neglects

• it’s the things you didn’t know you didn’t know that stab you in the back

(2) Model assessment is a testing of model assumptions

• hypothesis testing involves model comparisons, not comparisons between models and reality

• creative visualizations that best illustrate assessment

• relevant statistics

• avoid just listing and tallying scores

• descriptive vs inferential statistics

(3) Identify structural errors in models

+About

- About

Entrée par: David Price
NodeID: #718065
Node type: Event
Date d'entrée (GMT): 2/18/2024 3:50:00 PM
Date de la dernière modification (Heure GMT): 2/18/2024 3:50:00 PM
Show other editors
Corrélations entrantes: 0
Corrélations sortantes: 1
Evaluation moyenne: 0 by 0 utilisateurs

x Select file to upload