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Learning Bayesian Statistics
Why would you use Bayesian Statistics?
Feb 14, 2024
In this podcast, quantum physics expert Chris Ferrie explores the link between quantum physics and Bayesian statistics. They discuss the practical application of Bayesian statistics, the challenges faced in transitioning to the subjective interpretation of probability, and the benefits of building something from scratch to deepen understanding. Ferrie also shares insights on using Bayesian statistics in research and the usefulness of tools like Q infer for solving problems in quantum physics.
10:53
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Quick takeaways
- The understanding of probability is crucial in answering fundamental questions about quantum physics, and a subjective interpretation of probability can help in comprehending the field better.
- Building one's own tools and algorithms is an effective way to deeply understand a subject and encountering challenges can aid in developing a thorough comprehension.
Deep dives
Understanding Quantum Physics through Probability
The speaker discusses their transition from studying quantum foundations to becoming a Bayesian. They explain how a deep understanding of probability is crucial to answer fundamental questions about quantum physics. Having a subjective interpretation of probability helped them to comprehend the field better. They also touch upon the shift in their perspective from a philosophical stance to applying Bayesian statistics in quantum physics problems. This practical application of Bayesian techniques eventually convinced others of its usefulness, leading to the development of tools like Q infer, a sequential Monte Carlo integrator.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode