-
First just want to say it is an excellent book and a great resource for students in the Statistical Inference course.
Text says "n choose 1" equals 1 but isn't it equal to n?
Same for "n choose n-1."…
-
Link: [Arxiv](https://arxiv.org/pdf/1805.00909.pdf)
This is one of the important paper that link MBRL with Variational Inference, published in 2018/05
Problem:
> the connection between reinfo…
-
In Statistical_Inference/Resampling, we are asked several times to compare the median of the resampled medians with the median of the original data set.
But is not the _mean_ of the resampled statist…
-
Firstly, thanks for a great book! It gives every intuitive way to understand the Causal Inference topic!
It would be very useful to provide information on how to calculate statistical significance …
-
### Task motivation
Gene Regulatory Network (GRN) inference is pivotal in systems biology, offering profound insights into the complex mechanisms that govern gene expression and cellular behavior. Th…
-
1. intro: what is the aim of the book
- Why do social science practitioners need programming and statistical skills
- etc
2. introduction to R: beginning steps
- begin with case st…
-
## Summary
In this issue, please list all the concepts that we aim to cover in this curriculum.
These concepts and topics will be organised as different lessons in a Carpentries style training mat…
-
Here's what I got - 100% coverage. It was counter to the point that was supposed to be made, right? Why the lesson doesn't set the seed to get a result that would illustrate the point?
|============…
gagin updated
9 years ago
-
Areas of science to pull datasets/problems from:
Natural sciences
* Biology
* Ecology
* Evolution
* Microbiology
* Physiology
* Chemistry
* Materials science
* Organic chemistry
* Geology…
-
For RWTY2
AKA Gelman and Rubin statistic from:
Gelman, A., & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences. Statistical science, 7(4), 457-472.
Compares va…