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likely llc

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  • more unfinished work… SCSES

    This method could be used in the case where we have two design matrices, and we’d like to see association of groups of both design matrices covariates (groups) with an outcome of interested (whatever, likelihood of purchasing an elephant). For some reason group lasso wasn’t working, either issues with software or some issue with the…

    likelyandre

    August 1, 2026
    Uncategorized
    ai, applied-mathematics, artificial-intelligence, cca, clustering, data-science, hiearchical-models, hierarchical-models, linear-algebra, machine-learning, mathematics, metabolomics-data, omics-data, pen-and-paper, python, singular-value-decomposition, spectral-clustering, statistics, svd, technology
  • Gitting Started

    If you’re a developer and you’re not using git for version control, you’re wrong. Moreover, git can, and should be used when developing statistical or machine learning models, for example if developing a “customized” Bayesian model in Stan or developing your own neural network architecture in TF/PyTorch, the latter I’m not as familiar with. Incrementalism.…

    likelyandre

    April 26, 2026
    Uncategorized
    ai, artificial-intelligence, devops, git, linux, software-development, technology, version-control
  • Staring at Trace Plots

    I remember sitting in her office, with Eunjee Lee, PhD. We’re looking at a trace plot, this is a Metropolis-Hastings embedded in a Gibbs sampler, and there were multiple. We call it a “Metropolis-within-Gibbs.” So we’re looking at a trace plot. And she says zoom in, zoom in. So I zoom in. And she pauses,…

    likelyandre

    December 15, 2025
    Uncategorized
  • more litter from my trail of tears

    Feel free to correct me or reply if there’s any obvious mistake I’m making. I might be telling on myself here. So during my masters, I was assigned an adviser who then assigned me a project. This was a research based masters with graduate level mathematics course requirements and a minimum 70 page thesis, in…

    likelyandre

    December 7, 2025
    Uncategorized
    ai, ann, artificial-intelligence, math, optimization, philosophy, technology, tensorflow, theory
  • It’s been a while…

    It’s been a while since I’ve posted here, mostly since I’ve been working for The SAS Institute Inc, as a software developer in the scientific computing department. We worked closely with the econometrics and time series engineering team. I want to say thank you, I couldn’t have asked for a better position after finishing my…

    likelyandre

    November 17, 2025
    Uncategorized
  • Imitation: Radar Waveform Design in a Spectrally Crowded Environment via Nonconvex Quadratic Optimization

    On a whim, I chose to study Information and Communication Engineering, closest related keyword, Signal Processing, and Sister major, Electrical Engineering. I was paired with Cui GuoLong and his post-doc Xiang Xianyu. In order to learn more about radar filter design, I thought it would be a great idea to imitate one of his papers.…

    likelyandre

    February 22, 2024
    Uncategorized
  • Code for the Logo

    Prior to starting at SAS, I was still consulting and working for Michigan. I wanted to make a logo for Likely LLC, to make it appear more credible. Models are meaningless without good advertising and visualizations, to non-statisticians. I was attempting to make an L with mathematics and machine learning/statistics. So I simulated a Paul…

    likelyandre

    February 2, 2024
    Uncategorized
    art, machine-learning, math, python, R, stan
  • Gaussian Process Model Dump, Aalto University Internship, Summer 2018 Part 2

    This is a collection of models that I frequent if I’m doing any modeling with Gaussian processes. Contains logistic regression models with Gaussian process priors, spatial models, survival models, regression models with separate length scales, etc. There’s been some changes to the language, so you need to replace the name of the covariance functions to…

    likelyandre

    July 14, 2023
    Uncategorized
  • Models, Algorithms and Software for Statistical Inference

    I’m often asked by recruiters, clients, academics or colleagues which models I’ve worked with. This post is an effort to put this all in one place. All of these models, algorithms, and software I’ve worked with in some capacity. This includes implementation, development, application, required understanding, or any combination thereof. This list in non-exhaustive. I’ll…

    likelyandre

    September 3, 2022
    Uncategorized
  • So What Actually Happened in Finland? Aalto University Internship Summer 2018, Part 1

    After working in the psychiatry department at Michigan, I worked at Aalto University in Espoo, Finland next summer. There, I worked on the Stan math library implementing Gaussian process covariance functions and matrix utilities to make Gaussian process models more feasible in Stan. The ultimate goal was to implement what’s known as “the birthday problem”…

    likelyandre

    August 24, 2022
    Uncategorized
    autodiff, bayes, gaussianprocesses, MCMC, optimization, stan, statistics
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