#bayesianinference — Public Fediverse posts

✨ Ah, yes, the pinnacle of modern intellectual thought: a webpage that demands JavaScript and cookies before granting you the privilege of knowing how attention is like Bayesian inference. 🔐 Because nothing screams cutting-edge theory like a digital bouncer! 📊🍪
https://medium.com/@vishalmisra/attention-is-bayesian-inference-578c25db4501 #modernthought #digitalprivacy #attentiontheory #Bayesianinference #JavaScriptcookies #HackerNews #ngated

I'm explaining Hamiltonian Monte Carlo in my grad-level stats class tomorrow, so I put together this animation illustrating HMC in one dimension. I find it very soothing.

#bayesian #BayesianInference #posterior #stats #r #rlang #statistics #MCMC

I'm explaining Hamiltonian Monte Carlo in my grad-level stats class tomorrow, so I put together this animation illustrating HMC in one dimension. I find it very soothing.

#bayesian #BayesianInference #posterior #stats #r #rlang #statistics #MCMC

I'm explaining Hamiltonian Monte Carlo in my grad-level stats class tomorrow, so I put together this animation illustrating HMC in one dimension. I find it very soothing.

#bayesian #BayesianInference #posterior #stats #r #rlang #statistics #MCMC

I'm explaining Hamiltonian Monte Carlo in my grad-level stats class tomorrow, so I put together this animation illustrating HMC in one dimension. I find it very soothing.

#bayesian #BayesianInference #posterior #stats #r #rlang #statistics #MCMC

Two New Publications at the Open Journal of Astrophysics

It’s Saturday morning again so here’s another report on activity at the  Open Journal of Astrophysics.  Since the last update we have published two more papers, taking  the count in Volume 7 (2024) up to 95 and the total published by OJAp up to 210.  We’ve still got a few in the pipeline waiting for the final versions to appear on arXiv so I expect we’ll reach the 100 mark for 2024 in the next couple of weeks.

The first paper of the most recent pair, published on October 22 2024,  and in the folder marked Astrophysics of Galaxies, is “Cloud Collision Signatures in the Central Molecular Zone”  by Rees A. Barnes and Felix D. Priestley (Cardiff University, UK) .  This paper presents an analysis of combined hydrodynamical, chemical and radiative transfer simulations of cloud collisions in the Galactic disk and Central Molecular Zone (CMZ).

Here is a screen grab of the overlay which includes the abstract:

You can click on the image of the overlay to make it larger should you wish to do so.  You can find the officially accepted version of this paper on the arXiv here.

The second paper has the title “Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains” and was published October 25th 2024. The authors are Maximilian Philipp Herzog, Heinrich von Campe, Rebecca Maria Kuntz, Lennart Röver and Björn Malte Schäfe (all of Heidelberg University, Germany). This paper, which is in  the folder marked Cosmology and NonGalactic Astrophysics, describes a method of macrocanonical sampling for Bayesian statistical inference, based on the macrocanonical partition function, with applications to cosmology.

Here is a screen grab of the overlay which includes the abstract:

You can click on the image of the overlay to make it larger should you wish to do so. You can find the officially accepted version of the paper on the arXiv here.

That concludes this week’s update. More  next week!

#arXiv231116218v3 #arXiv240721575v2 #AstrophysicsOfGalaxies #BayesianInference #CosmologyAndNonGalacticAstrophysics #likelihoods #MarkovChains #MolecularCouds #PartitionFunction #starFormation #thermodynamics

Two New Publications at the Open Journal of Astrophysics

It’s Saturday morning again so here’s another report on activity at the  Open Journal of Astrophysics.  Since the last update we have published two more papers, taking  the count in Volume 7 (2024) up to 95 and the total published by OJAp up to 210.  We’ve still got a few in the pipeline waiting for the final versions to appear on arXiv so I expect we’ll reach the 100 mark for 2024 in the next couple of weeks.

The first paper of the most recent pair, published on October 22 2024,  and in the folder marked Astrophysics of Galaxies, is “Cloud Collision Signatures in the Central Molecular Zone”  by Rees A. Barnes and Felix D. Priestley (Cardiff University, UK) .  This paper presents an analysis of combined hydrodynamical, chemical and radiative transfer simulations of cloud collisions in the Galactic disk and Central Molecular Zone (CMZ).

Here is a screen grab of the overlay which includes the abstract:

You can click on the image of the overlay to make it larger should you wish to do so.  You can find the officially accepted version of this paper on the arXiv here.

The second paper has the title “Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains” and was published October 25th 2024. The authors are Maximilian Philipp Herzog, Heinrich von Campe, Rebecca Maria Kuntz, Lennart Röver and Björn Malte Schäfe (all of Heidelberg University, Germany). This paper, which is in  the folder marked Cosmology and NonGalactic Astrophysics, describes a method of macrocanonical sampling for Bayesian statistical inference, based on the macrocanonical partition function, with applications to cosmology.

Here is a screen grab of the overlay which includes the abstract:

You can click on the image of the overlay to make it larger should you wish to do so. You can find the officially accepted version of the paper on the arXiv here.

That concludes this week’s update. More  next week!

#arXiv231116218v3 #arXiv240721575v2 #AstrophysicsOfGalaxies #BayesianInference #CosmologyAndNonGalacticAstrophysics #likelihoods #MarkovChains #MolecularCouds #PartitionFunction #starFormation #thermodynamics

New on the blog: showcasing the immense hackability of #brms by extending a random intercept model with linear predictors on the standard deviation of the random intercept. Should you do it? Most likely not, but if you really really want, there is a way. Also the techniques shown are general and let you do a lot of other crazy stuff with brms. Happy for any feedback!
https://www.martinmodrak.cz/2024/02/17/brms-hacking-linear-predictors-for-random-effect-standard-deviations/

#bayesian #BayesianStatistics #BayesianInference #MixedModels

🤔 Bayesian Inference (on graphical models) is NP-hard.

But even worst! every epsilon-approximation is also NP-hard.

Which means that the worst case scenario is (almost certainly) exponential.

Good news is, there are some special cases where approximation or exact inference can be performed efficiently.

📘 Check out more in "Probabilistic Graphical Models: Principles and Technique" by Daphne Koller and Nir Friedman

#Bayes #bayesianism #MachineLearning #AI #ML #BayesianInference #Inference

#AlisonGopnik - What is #Causation ?

https://www.youtube.com/watch?v=m2ZKgiWM3JM&ab_channel=CloserToTruth

#Philosophy #Science #LawsOfPhysics #LawsOfNature #Correlation #PhilosophyOfScience #Probability #BayesianInference #Bayesianism

Short #introduction :
I'm a first year PhD student at #NetSI. Broadly interested in #ComplexSystems and #NetworkScience . Currently, I'm looking into #NetworkDynamics, #Emergence and #CollectiveBahavior from the perspective of #InformationTheory and #BayesianInference .

Eventhough it's not my main area of expertise, I love to read and learn about #EvolutionaryBiology, #DevelopmentalBiology and #SystemsBiology .