Probability models and decision analysis : introduction

Esitys aiheesta: "Probability models and decision analysis : introduction"— Esityksen transkriptio:

1 Probability models and decision analysis : introduction
Samu Mäntyniemi Biotieteellinen tiedekunta / Samu Mäntyniemi/Probability models and decision analysis

2 Introduction Contents of the course Type and amount of work
Course material Passing the course Introduction of participants Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi

3 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

4 Probability models: example I Linear regression
Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi

5 Probability models: example II Logistic regression
Released Survived Temp. 10 5 7 12 1 100 25 30 Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi

6 Decision analysis: How to make money by sports betting?
Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi

7 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

8 Types of work Lectures Demonstrations Exercises Homework exercises
Exam Homework project Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi

9 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

10 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

11 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 September 2015 Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi

12 Course material Wiki Books, e.g. Course programme
Powerpoint and other files Exercises Books, e.g. Bayesian Methods for Ecology Doing Bayesian Data Analysis (1st ed) Not necessary, but helpful Examples with BUGS code Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi

13 Software GeNIe MS Excel https://dslpitt.org/genie/ OpenBUGS
ile&do=get&target=OpenBUGS312Esetup.exe MS Excel Biotieteellinen tiedekunta / Henkilön nimi / Esityksen nimi