R-bloggers

Interpolation in the Frequency Domain Improved! Interpolation in the Frequency Domain Improved! Introduction This post describes interpolation in the frequency domain (IFD) and an improvement to IFD. IFD is a method of interpolation that is easy to use and produces good results on most time series data (data samples equally ...

Do ‘fragile’ p values tell us anything? I was interested recently to see this article on p values in the psychology literature float across my social media feed. Paul C Bogdan makes the case that the severity of the replication crisis in science can be...

Beyond Nelson-Siegel and splines: A model-agnostic Machine Learning framework for discount curve calibration, interpolation and extrapolation

Adding images to a web page used to be straightforward. You’d add the img tag to the HTML, set the src attribute to the appropriate URL and, hopefully, write some informative alt text. (You might also add some CSS, either inline or via a styles...

It’s plot recreation time! In this post, we’ll look at how we can recreate a plot in R. I thought it might be useful to provide the solution but also to detail the process I went through to get there. We have a FACS plot taken from a ...

R version Examples of use of Probabilistic Machine Learning (for longitudinal data) Reserving

The role of healthcare analytics The primary objective of healthcare analytics is to seek benefits for health administrators, organizations, and patients, most importantly by enhancing patient experiences and improving health outcomes. The heal...

1 Introduction “Correlation is not causation” – it’s a refrain we hear often, yet the distinction between these concepts is deceptively easy to overlook. Correlation refers to a statistical association: when one variable changes, another t...

 Reposted from the original at: https://blog.stephenturner.us/p/r-production-ai...Python isn't the only game in town anymore: R can interact with local and cloud LLM APIs, inspect and modify your local R environment and files, implement RAG, ...

I finally understood B-splines by working through the Cox-deBoor algorithm step-by-step, discovering they’re just weighted combinations of basis functions that make non-linear regression linear. What surprised me is going through Bayesian statis...

      This is the start of Pride month. I have friends, acquaintances, and family members in most if not all LGBTQ+ categories, and probably you do too although you may not know it. I wish they all could live lives of be...

A flexible hybrid approach to probabilistic stock forecasting that combines machine learning with ARCH effects, offering an alternative to traditional ARMA-GARCH models