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An introduction to partial least squares discriminant analysis (PLSDA)
The curse (or challenges) of dimensionality (p>>n)
Crash Course on Classification in Data Science
Two methods meetings ago, we learned all about linear regression. Probably the most common statistical technique, linear regression is most often used for predicting a...
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An introduction to partial least squares discriminant analysis (PLSDA)
The curse (or challenges) of dimensionality (p>>n)
Crash Course on Classification in Data Science
Two methods meetings ago, we learned all about linear regression. Probably the most common statistical technique, linear regression is most often used for predicting a continuous dependent variable (e.g., “What...
Multilevel models: what, why, and how
Analyzing data with repeated observations for a particular participant, stimulus, or other group is one of the most common things you need to do in psychology & neuroscience, like most...
Linear Regression (The basics)
You’ve probably come across linear regression from time to time in your research, or in reading papers – but how does it work? What is linear regression? What are the...
