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Hello! 👋

I am a PhD student at the Department of Statistics at Lund University. My research focuses on sparse generalized linear models, such as the lasso and SLOPE, in particular algorithms with which to optimize the performance of these models in high-dimensional settings.

Please check out my personal webpage at https://larssonjohan.com/ where I occasionally blog about my research and software that I'm working on.

Johan Larsson's Projects

abslope icon abslope

Adaptive Bayesian SLOPE --- High-dimensional Model Selection with Missing Values

adv-r icon adv-r

Advanced R programming: a book

asy icon asy

An R Interface to 'Asymptote'

benchopt icon benchopt

Making your benchmark of optimization algorithms simple and open

blitzl1 icon blitzl1

Fast, principled L1-regularized loss minimization

blogdown-jekyll icon blogdown-jekyll

Automatically knit R Markdown documents, build them with Jekyll, and serve the website with servr locally

bookdown icon bookdown

Authoring Books and Technical Documents with R Markdown

cams icon cams

Package for analysis of firm growth data

celer icon celer

Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.

cookiecutters icon cookiecutters

A set of cookiecutter templates for coding and academic writing

copilot.lua icon copilot.lua

Fully featured & enhanced replacement for copilot.vim complete with API for interacting with Github Copilot

ebook-reader-dict icon ebook-reader-dict

Finally decent dictionaries based on Wiktionary for your beloved eBook reader.

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