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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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@ITAM-DS

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mariobecerra/README.md

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.

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  1. opdesmixr opdesmixr Public

    R package that creates Bayesian I- and D-optimal designs for choice models involving mixtures of ingredient proportions

    C++ 1

  2. i_opt_mixture_choice_models_code i_opt_mixture_choice_models_code Public

    Code for paper "Bayesian I-optimal designs for choice experiments with mixtures" by Mario Becerra and Peter Goos.

    R

  3. msc_thesis msc_thesis Public

    Latex code for my computer science master thesis, "A comparison of frequentist methods and Bayesian approximations in the implementation of Convolutional Neural Networks in an Active Learning setti…

    TeX

  4. Active_Learning_CNNs Active_Learning_CNNs Public

    Active Learning with approximations of Bayesian Convolutional Neural Networks.

    R 2

  5. Tesis_LMA Tesis_LMA Public

    Implementation of a recommender system based on matrix factorization and stochastic gradient descent (Applied Mathematics BSc dissertation thesis)

    TeX 3 1

  6. GLM_final GLM_final Public

    Bayesian multilevel modeling of real estate sales in NYC

    R 1 1