01:47
Bötty - A friendly ChatGPT UI hack
04:02
The one good use case of Bubble Sort is beer tasting
27:50
Three strategies to tackle Big Data in R and Python
11:37
Can AI save us from the perils of P-values? Bayes@Lund 2023
00:47
Groggroulette
12:19
Fundamentals of Bayesian Data Analysis in R - Introduction to the course
17:30
Introducing Bayes, Rasmus Bååth - Bayes@Lund 2018
20:23
Making the most out of a single datapoint using ABC , Denis Shepelin - Bayes@Lund 2018
23:11
Some tools for approximate Bayesian inference, Umberto Picchini - Bayes@Lund 2018
14:38
Sequential Testing with Information Criteria, Ladislas Nalborczyk - Bayes@Lund 2018
20:36
Bayes Factors: A ‘re-volution’ in psychology, Geoff Patching - Bayes@Lund 2018
19:39
Is there something out there? , Ullrika Sahlin - Bayes@Lund 2018
17:24
Inference in ecology beyond generalised linear mixed models, Reinder Radersma - Bayes@Lund 2018
43:58
The virtue of Bayesian analysis in food risk assessment, Jukka Ranta - Bayes@Lund 2018
14:59
Analyzing orientation behaviour in animals using Stan, John Kirwan - Bayes@Lund 2018
15:19
Analyzing an experiment on involuntary attention using brms, Antonio Schettino - Bayes@Lund 2018
18:43
A hands-on example of Bayesian mixed models with brms, Andrey Anikin - Bayes@Lund 2018
16:26
Bayesian 3D Priors for Brain Imaging, Per Sidén - Bayes@Lund 2018
47:00
Why not to be afraid of priors (too much), Paul-Christian Bürkner - Bayes@Lund 2018
05:01
The current state of naming conventions in R - UseR 2017
37:52
Introduction to Bayesian data analysis - part 3: How to do Bayes?
22:16
Bayes@Lund 2017 -- Stefan Wiens: Making the most of your ANOVAs
27:22
Bayes@Lund 2017 -- Shravan Vasishth: Finite mixture modeling, a case study
19:20
Bayes@Lund 2017 -- Martin Stjernman, Joint species modelling
13:09
Bayes@Lund 2017 -- Judith Bütepage: Learning to make decisions under uncertainty
01:46
Hur man gör en pytteliten groggbok på bara en minut!
23:00
Introduction to Bayesian data analysis - Part 2: Why use Bayes?
29:30
Introduction to Bayesian data analysis - part 1: What is Bayes?
01:21
Grogg: En Kort Historik
01:54
En Liten Groggpraktika - Kickstartertrailer
03:53
Unboxing a HITACHI TRK-3D35E Sound system
15:14
bayesboot: An R package for easy Bayesian bootstrapping
19:41
Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman
01:13
A duck that lives up in a tree hollow.
04:18
DIY Kruschke style diagrams screencast
01:08
Another cat reacting to the rotating snake illusion.
01:19
My cat can see the rotating snake illusion!
00:31
A snake robots first crawls.
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