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JulkaistuPetri Mäkinen Muutettu yli 5 vuotta sitten
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Probability models and decision analysis : introduction
Samu Mäntyniemi Biotieteellinen tiedekunta / Samu Mäntyniemi/Probability models and decision analysis
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Introduction Contents of the course Type and amount of work
Course material Passing the course Introduction of participants Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Contents Probability models for Bayesian inference: ”science of knowing” Describe a problem mathematically Commonly used building blocks for case specific models How to criticize and compare models? Decision analysis : ”science of doing” Analytical decision making under uncertainty Value of Information: what data to collect Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Probability models: example I Linear regression
Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Probability models: example II Logistic regression
Released Survived Temp. 10 5 7 12 1 100 25 30 Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Decision analysis: How to make money by sports betting?
Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Decision analysis: example 2 Seal hunting
Conflicting interests Increasing grey seal population causes damage to fishery Too intensive hunting may cause the population to crash again How to find a balance between conservation and negative impacts to fishery profits? Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Types of work Lectures Demonstrations Experiment: Skype video
Exercises Homework exercises Exam Homework project Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Amount of work 8 – 12 credits = 216 – 324h of work
Lectures, demonstrations & exercises 10 x 8h =80h Homework exercises & project h Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Passing the course Grading 1-5 based on exercises and exam
Homework project : accept/reject Homework exercises 3 sets, 4 points/set Exam 12 points, minimum of 4 points to pass the course At least 12 points from homework exercises and exam + accepted homework = course passed 8-12 credits: Small/Medium/Large homework project Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Homework project Analyse a research problem of your interest
Write a report describing what you did A data analysis, modelling of expert knowledge, decision analysis or a combination of all these Return by the end of January 2011 Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Course material Wiki Bayesian Methods for Ecology Course programme
Powerpoint and other files Exercises Bayesian Methods for Ecology Not necessary, but helpful Examples with BUGS code Includes some errors: I will point these out Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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Software Hugin OpenBUGS MS Excel
OpenBUGS ile&do=get&target=OpenBUGS312Esetup.exe MS Excel Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi
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