Expectation Maximization (EM) & implementation
Expectation Maximization (EM) is an iterative algorithm used for finding maximum likelihood estimates of parameters in statistical models, particularly when…
A comic guide to denoising noisy data
Handling noisy data is a crucial step in data preprocessing and analysis. In general, here are some common approaches to…
Writing the paragraph detailing the contribution of your paper
After you introduce the motivation of your work, it’s time to write a paragraph detailing the contribution of your work…
A comical guide to Missing Not At Random (MNAR)
Recall that Missing Not At Random (MNAR) is a type of missing data mechanism where the probability of missingness is…
What’s Missing at Random (MAR)?
Missing at Random (MAR) is a statistical term indicating that the likelihood of data being missing is related to some…
What’s missing completely at random data
Here are some more examples of MCAR (recall that Missing completely at random (MCAR) data occurs when the probability of…
Tips & Tricks for research newbies
Coding and managing projects Using AI to better code, debug and manage projects How to export an R dataframe to…
Check Plagiarism by grammarly
Plagiarism is the act of using someone else’s work, ideas, words, or intellectual property without proper acknowledgment or permission, and…
Multiple regression analysis: waiting time to log in to Windows
Multiple regression analysis can be used to understand the relationship between the waiting time to log in to Windows (dependent…
Using AI to better code, debug and manage projects
1. Code Completion and Suggestions AI-powered code completion tools can predict and suggest the next lines of code based on…