Simulation with the Bootstrap
The context of what we are doing to do The purpose is to illustrate the Bootstrap. This is a very powerful and useful technique with many applications. In order to develop the ide...
Joaquin Alvarez
Thank you for visiting my personal website! I am interested in rigorous statistical tools and frameworks for reliable machine learning, particularly in distribution-free uncertainty quantification and predictive inference. More broadly, I am excited about the idea of building trust in predictive algorithms in a black-box manner, with a formal data-driven perspective. I studied applied mathematics at ITAM in Mexico. I was fortunate to be guided by Miguel Angel Mota, Mauricio Romero and Edgar Francisco Roman-Rangel.
Blog posts
Power iteration algorithm
By courtesy of Juan Carlos Aguilar’s Numerical Calculus course at ITAM. Context and summary of this blog post This is the first project that I did using LaTeX! The power iteratio...