Linked Questions

2
votes
1answer
213 views

Standardizing data with categorical and quantitative data

I'm analyzing a data set as a final project. This is a categorical data analysis course so I will be focusing on a logistic regression analysis. I scrapped together the data set from flight data and ...
1
vote
3answers
164 views

What can I read to give me a meta-view of statistics as a field

What can I read that will give me a meta-view of the diverse field of statistics and data science? With few exceptions much of what I get my hands of goes straight into formulae and methodologies. ...
0
votes
1answer
115 views

Confusion on Mean Squared Error for Regression

In common statistical textbooks' linear regression topic, Mean Squared Error is often defined as $$MSE = \dfrac{(y-\hat{y})^T(y-\hat{y})}{n-p} = \dfrac{RSS}{n-p}$$ where the $y$ and $\hat{y}$ is a ...
2
votes
1answer
112 views

Are there good recent (i.e. year 2018) papers and discussions on the issue of “Statistics vs. Machine Learning”?

I try to get an overview about the most recent discussions of how machine learning and classical statistics differ. There is an excellent discussion on this issue here on stackexchange ( The Two ...
1
vote
2answers
130 views

choice of mean for mean centering

I am doing statistical analysis of empirical data using a a generalized ordered regression model. I would like to test for interaction terms. I have a 3-level categorical IV (coded as 2 dummy ...
0
votes
1answer
83 views

GLMMs, stable isotope distribution analysis

I am currently working with a set of samples of stable isotopic concentrations obtained from a group of individuals. I am trying to process this data through a glmm() from the package lme4 to ...
1
vote
0answers
36 views

what machine learning isn't statistical?

If I understand correctly, statistical learning theory is just one approach to machine learning, What machine learning isn't statistical? Based on my very limited understanding, I thought that things ...

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