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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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3 results for “Fisher-Bingham”

Maximum likelihood estimation of the Fisher-Bingham distribution via efficient calculation of its normalizing constantstat.CO

Paper proposes efficient method to calculate Fisher-Bingham distribution normalizing constant.

problem Efficiently calculating the normalizing constant of Fisher-Bingham distributions.

method Numerical integration with continuous Euler transform to Fourier-type integral representation.

result The method is fast and accurate, applicable to high-dimensional distributions.

Fisher-Bingham distribution normalizing constant numerical integration Euler transform Fourier integral

2020-04-30abs ↗pdf ↗

Fisher-Bingham-like normalizing flows on the spherestat.ML

New normalizing flows for sphere distributions improve complexity and scale handling.

problem No straightforward normalizing flows for Fisher-Bingham distributions in higher dimensions.

method Zoom-linear-project (ZLP)-Fisher flows that gradually add complexity and handle varying scales.

result Generalizes Fisher-Bingham distributions to normalizing flows in any dimension.

normalizing flows sphere distributions Fisher-Bingham complexity scale handling

2025-10-06abs ↗pdf ↗

On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoodsstat.ME

A large number of statistical models are "doubly-intractable": the likelihood normalising term, which is a function of the model parameters, is intractable, as well as the marginal likelihood (model evidence). This means that standard inference techniques to sample from the posterior, such as Markov chain Monte Carlo (…

2013-06-17abs ↗pdf ↗