BDA GSU 2022 Student registration

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Registration form for the course Bayesian Data Analysis Global South version. See more at:
https://avehtari.github.io/BDA_course_Aalto/gsu2022.html

First name *

Last name *

Email address *

Country *

I am in global south *

Yes

I consider myself to be part of other underrepresented group *

Yes

Prerequisites 1: I know basics of probability theory (probability, probability density, distribution, sum, product rule, Bayes’ rule, expectation, mean, variance, median) *

Yes

Prerequisites 2: I know basics of algebra and calculus (differentiation and integration) *

Yes

Prerequisites 3: I know basics of R or Python, and I know how to plot histogram, density plot, and scatter plot. *

Yes

Other background information 1: My current university degree

None

BSc

MSc

PhD (or DSc, MD)

Clear selection

Other background information 2: I have studied Bayesian statistics before

Yes

Clear selection

Other background information 3: I have done probabilistic programming before

Yes

Clear selection

I have read the course web page https://avehtari.github.io/BDA_course_Aalto/gsu2022.html, I found the course book BDA3, and I checked that the last page of the first chapter is *

I have read the course web page https://avehtari.github.io/BDA_course_Aalto/gsu2022.html, found the reading instructions for the BDA3 Chapter 1, and I found that the name of Tony O'Hagan's paper mentioned is *

I have read the course web page https://avehtari.github.io/BDA_course_Aalto/gsu2022.html, and I found the information that the first assignment deadline is *

25th February

27th February

29th February

25th March

27th March

I have read the course web page https://avehtari.github.io/BDA_course_Aalto/gsu2022.html and found the rubric for the first assignment and the last questions is numbered *

Q13

Q15

Q17

Q19

Q21

I have read about the course assignments and peer grading https://avehtari.github.io/BDA_course_Aalto/assignments_gsu.html, and I know that in each round I will peer grade *

1 other student

2 other students

3 other students

4 other students

5 other students

I have read about the course information https://avehtari.github.io/BDA_course_Aalto/gsu2022.html and I know that some assignments are made using *

Stan

brms

PyMC3

Tensorflow

Pyro

JAGS

I have watched the first video (17mins) https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=d841f429-9c3d-4d24-8228-a9f400efda7b, and the colors of the chips used in the example are red and *

Blue

Green

Black

Yellow

White

The main difference between probability mass function and probability density function is (see, for e.g. https://en.wikipedia.org/wiki/Probability_mass_function) *

I know what is Jacobian determinant (see, e.g, https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant) and know that is used in (the answer is mentioned in that wiki page and in the BDA3 Chapter 1 on top of page 22) *

Exchangeability

Bayes' rule

Odds ratio

Transformation of variables

Inverse cumulative distribution function

I have made the Exercise 3 of the Assignment 1 (the easiest exercise in the whole course) available at the course web page and the answer is (this question check that you really have the required skills to start the course)

Consider the random variable Y = exp(X), where X is standard normally distributed. What are the mean and variance of Y, respectively? Hint: You may (and we hope you do) use simulations to answer this question, for example np.random.normal in Python

E(Y) = 0, Var(Y) = 1

E(Y) = 1.65, Var(Y) = 4.67

E(Y) = exp(0), Var(Y) = exp(1)

E(Y) = 1, Var(Y) = 1

Clear selection

I will commit to follow all the instructions given on the course material and by course staff during the course. I understand that not following the instructions can lead to losing the study right. *

Yes

I agree that I will not copy solutions directly from other students or from internet, and I will not share my own solutions publicly. *

Yes

I am aware that this is an introductory course, but that does not mean that is going to be an easy course. I am aware that the course will require time and effort. *

Yes

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