The snake illusion is made by Professor Akiyoshi Kitaoka. See his homepage for more nice illusions: http://www.ritsumei.ac.jp/~akitaoka/index-e.html .The one good use case of Bubble Sort is beer tastingrasmusab2024-01-01 | Cobbled together by Rasmus Bååth (sumsar.net) in 2024. I would like to thank Ivar for helping me "taste" half of the beers in the video! :)
For when you *actually* might want to use bubble sort, see this blog post: https://buttondown.email/hillelwayne/archive/when-would-you-ever-want-bubblesort/Three strategies to tackle Big Data in R and Pythonrasmusab2023-02-14 | Big data might not be the buzzword it was five years ago, but it's more prevalent than ever. Here l'll share three strategies and tools that can be used to tackle big data in R (and python if that's your cup of tea): duckDB, Spark and SnowflakeDB. The code for this video can be found here: sumsar.net/blog/three-strategies-for-big-dataCan AI save us from the perils of P-values? Bayes@Lund 2023rasmusab2023-01-25 | A presentation I did at the 2023 Bayes@Lund conference on whether AI (specifically ChatGTP) can save us from the perils of P-values. (Spoiler alert: Probably not...) bayesatlund.comGroggrouletterasmusab2019-06-19 | Spela Groggroulette här: http://groggbloggen.se/groggroulette/
Hitta mer groggar på http://groggbloggen.se/Fundamentals of Bayesian Data Analysis in R - Introduction to the courserasmusab2018-08-10 | datacamp.com/courses/fundamentals-of-bayesian-data-analysis-in-r ← Click this link to go to the interactive online course "Fundamentals of Bayesian Data Analysis in R" over at DataCamp.
Bayesian data analysis is an approach to statistical modeling and machine learning that is becoming more and more popular. It provides a uniform framework to build problem specific models that can be used for both statistical inference and for prediction. This course will introduce you to Bayesian data analysis: What it is, how it works, and why it is a useful tool to have in your data science toolbox.Introducing Bayes, Rasmus Bååth - Bayes@Lund 2018rasmusab2018-04-24 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlMaking the most out of a single datapoint using ABC , Denis Shepelin - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlSome tools for approximate Bayesian inference, Umberto Picchini - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlSequential Testing with Information Criteria, Ladislas Nalborczyk - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlBayes Factors: A ‘re-volution’ in psychology, Geoff Patching - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlIs there something out there? , Ullrika Sahlin - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlInference in ecology beyond generalised linear mixed models, Reinder Radersma - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlThe virtue of Bayesian analysis in food risk assessment, Jukka Ranta - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlAnalyzing orientation behaviour in animals using Stan, John Kirwan - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlAnalyzing an experiment on involuntary attention using brms, Antonio Schettino - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlA hands-on example of Bayesian mixed models with brms, Andrey Anikin - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlBayesian 3D Priors for Brain Imaging, Per Sidén - Bayes@Lund 2018rasmusab2018-04-23 | Find more info about Bayes@Lund, including slides, here: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlWhy not to be afraid of priors (too much), Paul-Christian Bürkner - Bayes@Lund 2018rasmusab2018-04-23 | More info about Bayes@Lund, including slides: bayesat.github.io/lund2018/bayes_at_lund_2018.htmlThe current state of naming conventions in R - UseR 2017rasmusab2017-07-14 | This is a lightning talk I held at the UseR 2017 conference in Brussels. I talk about the current state of naming conventions used in the R community, what has happened since 2012 and what the current trend is.
This is part three of a three part introduction to Bayesian data analysis. This last part aims to gives some pointers to *how* Bayesian data analysis can be done in practice. If you haven't watch part one and part two, I really recommend that you do that first: youtu.be/3OJEae7Qb_o
Links from the video: How to install Stan: http://mc-stan.org/interfaces Stan cheat sheet: goo.gl/BmvSqM R exercise: goo.gl/cuKzpD Python exercise: goo.gl/Nm6naZ Bonus Exercise: goo.gl/hRDAIEBayes@Lund 2017 Stefan Wiens: Making the most of your ANOVAsrasmusab2017-04-25 | "Making the most of your ANOVAs: From NHST to Bayesian analyses" presented by Presented by Stefan Wiens at the conference Bayes@Lund 2017, Lund University, Sweden. For more info see the conference site (http://www.maths.lu.se/bayeslund2017/) and the book of abstracts (http://www.maths.lu.se/fileadmin/maths/bayes%40lund_2017/program.pdf).Bayes@Lund 2017 Shravan Vasishth: Finite mixture modeling, a case studyrasmusab2017-04-25 | "Finite mixture modeling: a case study involving retrieval processes in sentence comprehension" presented by Shravan Vasishth at the conference Bayes@Lund 2017, Lund University, Sweden. For more info see the conference site (http://www.maths.lu.se/bayeslund2017/) and the book of abstracts (http://www.maths.lu.se/fileadmin/maths/bayes%40lund_2017/program.pdf).Bayes@Lund 2017 Martin Stjernman, Joint species modellingrasmusab2017-04-25 | "Joint species modelling -- beautiful in theory, tricky in practice" presented by Martin Stjernman at the conference Bayes@Lund 2017, Lund University, Sweden. For more info see the conference site (http://www.maths.lu.se/bayeslund2017/) and the book of abstracts (http://www.maths.lu.se/fileadmin/maths/bayes%40lund_2017/program.pdf).Bayes@Lund 2017 Judith Bütepage: Learning to make decisions under uncertaintyrasmusab2017-04-25 | Presented by Judith Bütepage at the conference Bayes@Lund 2017, Lund University, Sweden. For more info see the conference site (http://www.maths.lu.se/bayeslund2017/) and the book of abstracts (http://www.maths.lu.se/fileadmin/maths/bayes%40lund_2017/program.pdf).Hur man gör en pytteliten groggbok på bara en minut!rasmusab2017-03-14 | Instruktioner och material finner du här: http://groggbloggen.se/pytteliten/ . Boken En Liten Groggpraktika går att införskaffa här: http://groggbloggen.se/en-liten-groggpraktika/Introduction to Bayesian data analysis - Part 2: Why use Bayes?rasmusab2017-02-27 | Try my new interactive online course "Fundamentals of Bayesian Data Analysis in R" over at DataCamp: datacamp.com/courses/fundamentals-of-bayesian-data-analysis-in-r
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This is part two of a three part introduction to Bayesian data analysis. This second part aims to explain *why* Bayesian data analysis is useful. If you haven't watch part one, I really recommend that you do that first: youtu.be/3OJEae7Qb_o
More Bayesian stuff can be found on my blog: http://sumsar.net. :)Introduction to Bayesian data analysis - part 1: What is Bayes?rasmusab2017-02-12 | Try my new interactive online course "Fundamentals of Bayesian Data Analysis in R" over at DataCamp: datacamp.com/courses/fundamentals-of-bayesian-data-analysis-in-r
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This is part one of a three part introduction to Bayesian data analysis. This first part aims to explain *what* Bayesian data analysis is. See here for part 2: youtu.be/mAUwjSo5TJE
More Bayesian stuff can be found on my blog: http://sumsar.net. :)Grogg: En Kort Historikrasmusab2017-01-22 | På en minut så får du här föklaringen om vart ordet grogg kommer ifrån. Mer grogg hittar du på http://groggbloggen.se .En Liten Groggpraktika - Kickstartertrailerrasmusab2016-11-14 | Skaffa boken på Kickstarter innan den 4e December! kickstarter.com/projects/1943225696/en-liten-groggpraktika
Om du vill ha ett smakprov på vad du att vänta dig kolla in http://groggbloggen.seUnboxing a HITACHI TRK-3D35E Sound systemrasmusab2016-09-29 | Just bought this awesome 90s stereo and thought I would share it! :)bayesboot: An R package for easy Bayesian bootstrappingrasmusab2016-07-06 | In this talk, presented at UseR! 2016, I will explain the model behind the Bayesian bootstrap, how it connects to the classical bootstrap and in what situations the Bayesian bootstrap is useful. I will also show how one can easily perform Bayesian bootstrap analyses in R using my package bayesboot (cran.r-project.org/package=bayesboot).
For more info on the Bayesian bootstrap see my blog: http://www.sumsar.net/blog/2015/04/the-non-parametric-bootstrap-as-a-bayesian-modelrasmusab Live Streamrasmusab2016-02-18 | ...Tiny Data, Approximate Bayesian Computation and the Socks of Karl Bromanrasmusab2015-07-26 | This is a talk I presented at the UseR! 2015 conference in Aalborg, Denmark. It is a quick'n'dirty introduction to Approximate Bayesian Computation that is based on this blog post: http://www.sumsar.net/blog/2014/10/tiny-data-and-the-socks-of-karl-bromanA duck that lives up in a tree hollow.rasmusab2014-06-23 | This duck (actually a mallard) lives up in a tree, inside a tree hollow. Who knew they could do that?! (probably biologists...) This is the first time I was able to get in on camera. Sorry for the vertical video syndrome, I was too exited to notice...DIY Kruschke style diagrams screencastrasmusab2013-10-28 | This video shows an example of how to make diagrams of statistical model in the style of John Kruscke.
Check out the github page for more info regarding how to customize the distribution pictograms: github.com/rasmusab/distribution_diagramsAnother cat reacting to the rotating snake illusion.rasmusab2013-06-10 | Can cats experience visual illusions? Show your cat the rotating snakes illusion (available here: http://www.ritsumei.ac.jp/~akitaoka/index-e.html), film it and let me know the result by filling in this form:
If enough people do this we might be able to crowdsource some real evidence that cats can see visual illusions!
/Rasmus
For another cat reacting to the rotating snake illusion, see this video: http://www.youtube.com/watch?v=CcXXQ6GCUb8A snake robots first crawls.rasmusab2010-09-22 | This is the first movements of a snake robot we've put together at the LUCS robotics group. Right now the belly of the snake lacks enough friction to make it go forward. Passive wheels are up for robotic snake 2.0.