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New tutorial paper with
@cedricbatailler and@paulbuerkner : An introduction to Bayesian multilevel models using#brms#Rstats https://pubs.asha.org/doi/10.1044/2018_JSLHR-S-18-0006 … As always, preprint on@PsyArXiv, code and supplementary materials are available on OSF:https://psyarxiv.com/guhsa/Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ladislas Nalborczyk proslijedio/la je Tweet
Research Associate (Motor Cognition) at Manchester Metropolitan University https://www.jobs.ac.uk/job/BYL423/research-associate-motor-cognition …
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Ladislas Nalborczyk proslijedio/la je Tweet
Giving a 2h conceptual (no calculations) intro to Bayes & causal inference tomorrow at local Uni. Redundant w my book, but compressed and easier. Slides are up already, and will try to record. https://speakerdeck.com/rmcelreath/bayesian-inference-is-just-counting …pic.twitter.com/gsxTkXVtkc
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Ladislas Nalborczyk proslijedio/la je Tweet
Learn the Julia Programming Language for free at https://juliaacademy.com . Julia is fast, easy to learn, and is used in disciplines like Machine Learning, Data Analytics and more!
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Ladislas Nalborczyk proslijedio/la je Tweet
All materials of
#PNAWS202 - our 8th school on psychological networks - are now online at https://osf.io/hcd8u/ ! Organizer:@AdelaIsvoranu Co-organizers: Ria Hoekstra + me Lecturers: Denny Borsboom+@AdelaIsvoranu+Lourens Waldorp+@tfblanken+@JulianBurger+@jonashaslbeck+mepic.twitter.com/ovCgKK33JC
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Ladislas Nalborczyk proslijedio/la je Tweet
Data sharing accelerates science.
@DobyRahnev & colleagues share the Confidence Database, a resource of to date 145 studies of metacognitive judgments:https://www.nature.com/articles/s41562-019-0813-1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Pandas 1.0 is here! * Read the release notes: https://pandas.pydata.org/pandas-docs/version/1.0/whatsnew/v1.0.0.html … * Read the blogpost reflecting on what 1.0 means to our project: https://dev.pandas.io/pandas-blog/pandas-10.html … * Install with conda / PyPI: https://pandas.pydata.org/pandas-docs/version/1.0.0/getting_started/install.html … Thanks to our 300+ contributors to this release.
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[EVENT] Workshop Approximate Bayesian Computation (ABC) in Grenoble
19-20 March 2020
#Grenoble More information and registration: https://buff.ly/39T7zBX#science#research#DataScience#BIGseminar@UGrenobleAlpes@inria_grenoblepic.twitter.com/l5sBXxQW6l
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How to do stepwise regression in R?https://www.neurotroph.de/2020/02/how-to-do-stepwise-regression-in-r/ …
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How to find new models from a given data set? This is a major challenge with great relevance to many disciplines, from physics to complexity. Here's a very important contribution to creating a Bayesian Scientist Machine by
@rogertgn et al. https://advances.sciencemag.org/content/advances/6/5/eaav6971.full.pdf …@icreacommunitypic.twitter.com/UBEFyt9QsA
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Two weeks left to submit individual abstracts to the 2020 International Conference on Thinking, in Paris, this summer! Don't miss out on this one, it's going to be legendary and you'll forever regret not attending https://www.ict-2020.eu/#section-welcome …pic.twitter.com/F0xyJL5IkH
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A
#Python library that helps data scientists to infer causation rather than observing correlation.#causalityhttps://github.com/quantumblacklabs/causalnex …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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An Introduction To Causal Inference by
@fdabl@Rbloggers Read more http://bit.ly/2Pa5Nnv#AI#BigData#MachineLearning#ArtificialIntelligence#ML#MI#Digital#DataScience#DeepLearning#DL#Game Cc:@goodfellow_ian@nandodf@hugo_larochellepic.twitter.com/pmHZXrCKiJ
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Ladislas Nalborczyk proslijedio/la je Tweet
Today I will be teaching my undergrad course "How to build a brain from scratch" for the 2nd year running. I've put the materials online - include a document with all lecture slides and notes, which is about as long as a decent novel. Enjoy!https://humaninformationprocessing.com/teaching/
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Ladislas Nalborczyk proslijedio/la je Tweet
I like the thoughtful advice from Alon (2009) that different career stages call for tackling problems of different degrees of complexity/difficulty: https://www.weizmann.ac.il/mcb/UriAlon/sites/mcb.UriAlon/files/uploads/nurturing/howtochoosegoodproblem.pdf … https://twitter.com/garaymariaa/status/1222277528620032001 …pic.twitter.com/FZHGohyYUR
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Ladislas Nalborczyk proslijedio/la je Tweet
Pleased to announce that
#tidybayes v2.0 (SLABS FOR DAYS edition) hit CRAN today.#rstats Lots of new stuff in this version: A THREADPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ladislas Nalborczyk proslijedio/la je Tweet
“If you’re a philosopher of science, you probably don’t take Popper’s philosophy seriously. But if you’re...a scientist, there is a pretty good chance that you think you agree with Karl Popper. I am here to explain to you that no, you probably do not”http://fakenous.net/?p=1239
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Ladislas Nalborczyk proslijedio/la je Tweet
ABC in Grenoble
, March 19-20: please spread the word by sharing this poster!
pdf at: https://tinyurl.com/w7dlw5x
workshop site: https://sites.google.com/view/abc-in-grenoble/home …pic.twitter.com/obr1zrLT4b
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Ladislas Nalborczyk proslijedio/la je Tweet
Yesterday, I gave an easy intro to causal diagrams for some MA students at the Uni. For reading I chose 1999 paper by
@Lester_Domes@yudapearl & Robins bc it contains not a single equation to scare a student with. https://insights.ovid.com/pubmed?pmid=9888278 … Other options without equations?Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ladislas Nalborczyk proslijedio/la je Tweet
Expert panel discussion on how to conduct Bayesian inference is just out at
@NatureHumBehav https://rdcu.be/b0O0y With@RinkHoekstra@StatModeling@EJWagenmakers I. Klugkist@JeffRouder@VandekerckhoveJ@mdlBayes@richarddmorey@wolfvanpaemel Z. Dienes@DonVanRavenPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Causal inference in AI: Expressing potential outcomes in a graphical-modeling framework that can be fit using Stan https://statmodeling.stat.columbia.edu/2020/01/27/causal-inference-in-ai-expressing-potential-outcomes-in-a-graphical-modeling-framework-that-can-be-fit-using-stan/ …
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