Detailed information about the course

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Title

Approaches to fitting non-linear models

Dates

13 July 2018

Organizer(s)

Dr. Marta Bellone, Coordinator of the CUSO Doctoral Program in Ecology and Evolution

Speakers

Dr Etienne Low-Decarie, University of Essex (UK)

Description

This workshop will tackle fitting non-linear models to data in R. The workshop will be a combination of lectures and practical exercises using a diversity of data types. Approaches for fitting presented will include different algrithms for least-squares optimisation and maximum likelihood approaches. Approaches for estimating prediction error will include Monte-Carlo simulations and boostrapping.

Location

University of Lausanne

Credits

0.5

Evaluation

Full attendance and active participation

Information

!PREREQUISITE!

Participants should have a basic understanding of R

 

When?
13 July 2018
9AM to 5PM

 

Where?
University of Lausanne
Room 2917.2, Biophore building

 

INFORMATIONS

Please bring your own laptop with installed: a spreadsheet software, R and RStudio.

Participants should also bring one of their datasets if they have one

 

Expenses
Reimbursement:

PhD students of the DPEE are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class). Please send the original tickets along with the reimbursement form to:

 Marta Bellone
 Doctoral Program in Ecology and Evolution

 
PER04 building

 University of Fribourg

 Rue Albert-Gockel, 3

 CH-1700 Fribourg

 

NEW from 2018: NO reimbursement of your meal expenses

 

Regarding reimbursement of accomodation, please contact the coordinator of the doctoral program (ecologie-evolution(at)cuso.ch) BEFORE the beginning of the course. NO reimbursement of accomodation without the agreement in advance of the course of the coordinator fo the doctoral program.

Registration

Through your myCUSO account!


Priority is given to PhD students of the Doctoral program in Ecology and Evolution until June 3, 2018. After this deadline, first comes, first serves!

Places

20

Deadline for registration 12.06.2018
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