In my previous article, we analyzed the COVID-19 data of Turkey and selected the cubic model for predicting the spread of disease. In this article, we will show in detail why we selected the cubic model for prediction and see whether our decision was right or not. When we analyze ...

Hi there!  During the pandemic lockdown I was studying how N-mixture models to estimate animal abundance works. As a result, I wrote this small tutorial in R (Spanish) that helped me to better understand such models. Any correction or suggestion c...

Hi there!  During the pandemic lockdown I was studying how N-mixture models to estimate animal abundance works. As a result, I wrote this small tutorial in R (Spanish) that helped me to better understand such models. Any correction or suggestion can be made by posting here or at jflopez.bio@...

In our last post, we analyzed the performance of our portfolio, built using the historical average method to set return expectations. We calculated return and risk contributions and examined changes in allocation weights due to asset performance. We...

In our last post, we analyzed the performance of our portfolio, built using the historical average method to set return expectations. We calculated return and risk contributions and examined changes in allocation weights due to asset performance. We...

A target-based categorical encoder for Statistical/Machine Learning (based on correlations) Part 3.

A target-based categorical encoder for Statistical/Machine Learning (based on correlations) Part 3.

In our last post, we analyzed the performance of our portfolio, built using the historical average method to set return expectations. We calculated return and risk contributions and examined changes in allocation weights due to asset performance. We briefly considered whether such changes warranted rebalancing and what impact rebalancing might ...

A curio on X validated where an hybrid Metropolis-Hastings scheme involves a deterministic transform, once in a while. The idea is to flip the sample from one mode, ν, towards the other mode, μ, with a symmetry of the kind μ-α(x+μ) and ν-α(x+ν) with α a positive coefficient. Or the reciprocal, ...

Learn the fundamentals of R markdown in this in-depth tutorial, or simply use it as a quick reference guide and cheatsheet for R markdown formatting. The post Getting Started with R Markdown — Guide and Cheatsheet appeared first on Dataquest.

Photo by Daniel Jerez on Unsplash Data science can feel like an endless tunnel, with tremendous investment at the beginning and little visibility into where or when your results will emerge. Data science teams wrestle with many challenges, such as ra...

“I have a great idea to get rich. All we need is a lot of money.” ― A meme on the internet A while ago I was reading about Bernoulli trials and decided that I wanted to explore them further. I was wondering what would be an interesting case study for ...

“I have a great idea to get rich. All we need is a lot of money.” ― A meme on the internet A while ago I was reading about Bernoulli trials and decided that I wanted to explore them further. I was wondering what would be an interesting case study for ...

“I have a great idea to get rich. All we need is a lot of money.” ― A meme on the internet A while ago I was reading about Bernoulli trials and decided that I wanted to explore them further. I was wondering what would be an interesting case study...

“I have a great idea to get rich. All we need is a lot of money.” ― A meme on the internet A while ago I was reading about Bernoulli trials and decided that I wanted to explore them further. I was wondering what would be an interesting case study for ...

In ggplot2, aesthetics and their scale_*() functions change both the plot appearance and the plot legend appearance simultaneously. The override.aes argument in guide_legend() allows the user to change only the legend appearance without affecting the rest of the plot. This is useful for making the legend more readable ...