I'm going to start working on an #R package that will be specific to #RandomWalks idk when it will have a first release. I do know I'm going to start with a #GaussianProcesses
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#GaussianProcesses
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@charleemos I have found both the #PyMC tutorials (https://www.pymc.io/projects/docs/en/latest/guides/Gaussian_Processes.html) and the #Stan User's Guide (https://mc-stan.org/docs/stan-users-guide/gaussian-processes.html) on #GaussianProcesses good for getting your hands dirty. Seeing GPs in action and fiddling with hyperparameters was helpful for me to understand the mathematical underpinnings.
www.pymc.ioGaussian Processes — PyMC dev documentation
Cordial congrats to Michel Talagrand on winning this year's Abel Prize, well deserved! His works on bounding #stochastic_process are also of great value for #cosmology ! Imagine we lacked knowledge of bounds on #GaussianProcesses !
Via Alexander Terenin: stochastic gradient descent can be used as an efficient approximate sampling algorithm for Gaussian processes. Looks super cool: https://arxiv.org/abs/2306.11589
Funded (£20,410 4-year tax-free stipend) PhD positions available with me at Imperial College London
#PathIntegrals, #DFT, #CompChem, #MachineLearning, #GaussianProcesses, #JuliaLang, #MonteCarlo, excitement, adventure and really wild things!
Next interview round closing Friday 14th July 2023 .
More details and exemplar projects in this Google doc: https://docs.google.com/document/d/1wiG-T8uqgq_-h-Btu1tecmdrZbK-zS006eB6BKGqFgI/edit?usp=sharing
Google Docs2023-01_FrostGroupPhDAdverts2023 Frost group PhD adverts Overview / TL;DR Introduction Research Group Motivation / Philosophy Eligibility Funding Notes How to apply Project 1: Simulating charge transfer and recombination at an upconverting organic semiconductor interface Project 2: Modelling mixed electron ion conduction ...
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@tylerjburch Yes, I hear you 
You've likely already fixed your installation and I'm not sure whether you're using #jupyter, but I found this guide really helpful:
https://pkseeg.com/post/jupyter-venv/
Now, I always warn people to never mess with the base installation of #python on a machine but use (virtual) environments instead.
Good luck with the #GaussianProcesses, I'm going through the #pymc tutorials for it right now 
pkseegHow to use Jupyter Lab and Python Virtual Environments (Ubuntu/Debian) | pkseegHow to use Jupyter Lab and Python Virtual Environments simultaneously in an Ubuntu/Debian system for better python package management, better data science project management, and general project reproducibility.
I'm eyeballs deep into understanding #GaussianProcesses (GPs). There are great resources out there but I can thoroughly recommend this introductory paper on #Distill by Görtler et al. The interactive plots are a great https://doi.org/10.23915/distill.00017
DistillA Visual Exploration of Gaussian ProcessesHow to turn a collection of small building blocks into a versatile tool for solving regression problems.
I have, once again, made the strange choice to write a blog. This one is about Gaussian Process and, particularly, about what the Markov property looks like when you don't have a linear notion of time to help you define a past and present.
Like all my GP posts, this one is wildly technical but with an aim towards being somewhat useful. The information here is hard to find unless you want to read a 400 page book translated from Russian
https://dansblog.netlify.app/posts/2023-01-21-markov/markov.html
dansblog.netlify.appUn garçon pas comme les autres (Bayes) - Markovian Gaussian processes: A lot of theory and some practical stuffWell this is gonna be technical. And yes, I’m going to define it three ways. Because that’s how comedy works.
Watch our own @sethaxen summarize our recent #NeurIPS2022 workshop paper on modeling European #paleoclimate using #GaussianProcesses!
This is my first time attending @NeuripsConf (virtually to reduce carbon emissions).
On Friday I'll join the workshop "Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems," where we have a paper, poster, and lightning talk on GPs for modeling #paleoclimate.
If you're attending and want to chat about #GaussianProcesses, probabilistic programming (#ProbProg), or @ArviZ, ping me!
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Check out some results from one of our current projects! #Spatiotemporal modeling of European #paleoclimate using doubly sparse #GaussianProcesses
Our preprint "Spatiotemporal modeling of European #paleoclimate using doubly sparse Gaussian processes" is now on #arXiv!
This is one of the outcomes of a cooperation we (@sethaxen, Alex Gessner, and Álvaro Tejero-Cantero) are currently running with @sommer and Nils Weitzel.
The paper, as well as a lightning talk and poster, were accepted to the #NeurIPS2022 workshop on #GaussianProcesses, #Spatiotemporal Modeling, and Decision-making Systems #GPSMDMS
I am a harmless wandering anthropologist, bringing 20 hours of free #CausalInference and #BayesianStatistics instruction to your door. From foundations of inference through DAGs, #MultilevelModels & poststratified causal effects to #GaussianProcesses, Bayesian imputation & ODEs. Theatrical trailer below. Playlist: https://www.youtube.com/playlist?list=PLDcUM9US4XdMROZ57-OIRtIK0aOynbgZN
I just fixed some typos in my blogpost on priors for #GaussianProcesses. The way you know it's my blog is that the guy who emailed me said "the equation after footnote 99 doesn't match how you used it after footnote 108".
#MachineLearning #statistics #bayesian #Stan
https://dansblog.netlify.app/posts/2022-09-07-priors5/priors5.html
dansblog.netlify.appUn garçon pas comme les autres (Bayes) - Priors for the parameters in a Gaussian processIf you’re not a machine learner (and sometimes if you are), Gaussian processes need priors on their parameters. Like everything else to do with Gaussian processes, this can be delicate. This post works through some options.