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About me

I'm an applied mathematician, statistician, and computer scientist. My main interests are data visualization, statistical modeling (particularly Bayesian modeling), experimental design, and predictive analytics.

LinkedIn: https://www.linkedin.com/in/mbecerrac/

Webpage: https://mariobecerra.github.io/

I am currently a doctoral researcher at the Mechatronics, Biostatistics and Sensors (MeBioS) division of the Biosystems Department at KU Leuven. My current research focuses on optimal design of choice experiments as well as their analysis.

Mario Becerra's Projects

big-data icon big-data

Repositorio de la clase de Introducción a los métodos de gran escala

btyd_baz icon btyd_baz

R package for Customer Behavior Analysis. Fork from https://github.com/mplatzer/BTYDplus/

chollrup icon chollrup

Matlab MEX commands for updating and downdating Cholesky factors after rank one changes

data icon data

Small datasets that can be used for analysis

decaf_compiler icon decaf_compiler

A compiler for a simple object-oriented programming language called Decaf.

dropoutuncertaintyexps icon dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

geoestad icon geoestad

TRabajo final de geoestadística sobre incendios en las Montañas Azules

glm_final icon glm_final

Bayesian multilevel modeling of real estate sales in NYC

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