Learning Bayesian Statistics

#64 Modeling the Climate & Gravity Waves, with Laura Mansfield


Listen Later

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!

I’m sure you’ve already heard of gravitational waves, because my listeners are the coolest and smartest ever ;) But did you know about gravity waves? That’s right, waves in the sky due to gravity — sounds awesome, right?

Well, I’m pretty sure that Laura Mansfield will confirm your prior. Currently a postdoc at Stanford University, Laura studies — guess what? — gravity waves and how they are represented in climate models. In particular, she uses Bayesian methods to estimate the uncertainty on the gravity wave components of the models.

Holding a PhD from the University of Reading in the UK, her background is in atmospheric physics, but she’s interested in climate change and environmental issues.

So seat back, chill out, and enjoy this physics-packed, aerial episode!

Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ !

Thank you to my Patrons for making this episode possible!

Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, Adam Bartonicek, William Benton, Alan O'Donnell, Mark Ormsby, James Ahloy, Robin Taylor, Thomas Wiecki, Chad Scherrer, Nathaniel Neitzke, Zwelithini Tunyiswa, Elea McDonnell Feit, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Joshua Duncan, Ian Moran, Paul Oreto, Colin Caprani, George Ho, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Raul Maldonado, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Matthew McAnear, Michael Hankin, Cameron Smith, Luis Iberico, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Aaron Jones, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Lin Yu Sha and Scott Anthony Robson.

Visit https://www.patreon.com/learnbayesstats to unlock exclusive Bayesian swag ;)

Links from the show:

  • Laura on Twitter: https://twitter.com/lau_mansfield
  • Laura’s webpage: https://profiles.stanford.edu/laura-mansfield
  • Julia package for Gaussian Processes: https://github.com/STOR-i/GaussianProcesses.jl 
  • Julia implementation of the scikit-learn API:
...more
View all episodesView all episodes
Download on the App Store

Learning Bayesian StatisticsBy Alexandre Andorra

  • 4.7
  • 4.7
  • 4.7
  • 4.7
  • 4.7

4.7

66 ratings


More shows like Learning Bayesian Statistics

View all
Data Skeptic by Kyle Polich

Data Skeptic

479 Listeners

Talk Python To Me by Michael Kennedy

Talk Python To Me

585 Listeners

The Quanta Podcast by Quanta Magazine

The Quanta Podcast

530 Listeners

Macro Musings with David Beckworth by Mercatus Center at George Mason University

Macro Musings with David Beckworth

378 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

302 Listeners

Azeem Azhar's Exponential View by Azeem Azhar

Azeem Azhar's Exponential View

611 Listeners

Data Engineering Podcast by Tobias Macey

Data Engineering Podcast

146 Listeners

DataFramed by DataCamp

DataFramed

269 Listeners

Practical AI by Practical AI LLC

Practical AI

211 Listeners

Google DeepMind: The Podcast by Hannah Fry

Google DeepMind: The Podcast

200 Listeners

The Real Python Podcast by Real Python

The Real Python Podcast

142 Listeners

Last Week in AI by Skynet Today

Last Week in AI

305 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

95 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

511 Listeners

No Priors: Artificial Intelligence | Technology | Startups by Conviction

No Priors: Artificial Intelligence | Technology | Startups

131 Listeners