Meichen Lu

To wrap up this introduction to survival analysis, I used an example and R packages to demonstrate the theories in action. The same content can be found in this R markdown file, which you can download and play with. The highlights of this include Plotting the survival curve from Kaplan-Meier... [Read More]

Last blog introduced the core concepts and terminology in survival analysis and the two central quantities for modelling the survival process, the survival and hazard functions. This time, I will continue the journey in the theoretical land, covering some key models and performance metrics. [Read More]

For the first project of my new job, I got a very exciting task, which belongs to the realm of survival analysis. As I was new to this field, I spent quite some time learning and really enjoyed the process. One of the first obstacles I found was trying to... [Read More]

I have always been very interested in explainability of algorithms, stemming from the curiosity of understanding how models work. I came to realize that the progress of machine learning is largely credited to the power of algorithms in capturing the delicate and complicated interactions between features. The most powerful of... [Read More]

After introducing the instance weighting framework for domain adaptation in the previous blog, I will explore a different framework. The second category of algorithms is feature-based. Instead of taking each instance as a whole, we try to extract useful information from the features. Here we explore three algorithms and applied... [Read More]