Products and ratios Bessel functions -> any known approximations?

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SUMMARY

The discussion centers on the need for efficient computation of products and ratios of zeroth-order modified Bessel functions of the first kind in computational neuroscience models. Participants suggest exploring approximations to replace direct evaluations of these functions to enhance computational speed. One specific recommendation is to utilize the stationary phase approximation via Bessel's integral for improved efficiency. The conversation emphasizes the importance of finding reliable approximations to optimize Bayesian models in human perception studies.

PREREQUISITES
  • Understanding of zeroth-order modified Bessel functions of the first kind
  • Familiarity with Bayesian modeling techniques
  • Knowledge of stationary phase approximation methods
  • Basic principles of computational neuroscience
NEXT STEPS
  • Research existing approximations for zeroth-order modified Bessel functions
  • Explore the application of stationary phase approximation in computational models
  • Investigate numerical methods for efficient computation of Bessel functions
  • Study the impact of Bessel function approximations on Bayesian model performance
USEFUL FOR

Researchers in computational neuroscience, mathematicians working with special functions, and data scientists focused on optimizing Bayesian models will benefit from this discussion.

nronald
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Hi,

I work in a computational neuroscience lab, where we study human perception using Bayesian models. In our models we often have to compute products and ratios of Bessel functions (specifically, zeroth-order modified Bessel functions of the first kind).

Our computations could speedup considerably if we would replace these Bessel evaluations by approximations. Does anyone know if approximations exist for such products and ratios?

Any other information/references on how to compute efficiently with Bessel functions would also be highly appreciated.

Thanks!
 
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You could try doing a stationary phase approximation using Bessel's integral.
 

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