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Paper Citation Record · LEDGER

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2501.04791.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.04791 v3

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measured 44 of 44 reference resolution

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Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 493a3d5b-7f33-4add-890e-025426d232f7 · outbound

This paper cites Bayes in the sky: Bayesian inference and model selection in cosmology.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Bayes in the sky: Bayesian inference and model selection in cosmology

Reference 1

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Observation 98017f4d-240f-4c32-ab7a-168fbb409015 · outbound

This paper cites Bayesian Methods in Cosmology.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Bayesian Methods in Cosmology

Reference 2

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This paper cites The power of Bayesian evidence in astronomy.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology The power of Bayesian evidence in astronomy

Reference 3

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Observation 4507d298-4226-4daf-98a7-012dfced9301 · outbound

This paper cites Quantifying dimensionality: Bayesian cosmological model complexities.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Quantifying dimensionality: Bayesian cosmological model complexities

Reference 4

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This paper cites Trotta , volume 378 , pages 819 ( year 2007 ), ISSN issn 0035-8711, 1365-2966 , ://mnras.oxfordjournals.org/cgi/doi/10.1111/j.1365-2966.2007.11861.x.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Trotta , volume 378 , pages 819 ( year 2007 ), ISSN issn 0035-8711, 1365-2966 , ://mnras.oxfordjournals.org/cgi/doi/10.1111/j.1365-2966.2007.11861.x

Reference 5

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Present and future evidence for evolving dark energy

Reference 6

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Observation 6a96051b-4387-49be-9952-00b204431d1a · outbound

This paper cites On Model Selection in Cosmology.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology On Model Selection in Cosmology

Reference 7

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Unresolved cited work

Reference 8

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This paper cites Schosser , author T.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Schosser , author T

Reference 9

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This paper cites o ver , author H. von Campe , author M. P. Herzog , author R. M. Kuntz , and author B. M. Sch \.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology o ver , author H. von Campe , author M. P. Herzog , author R. M. Kuntz , and author B. M. Sch \

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This paper cites Partition function approach to non-Gaussian likelihoods: partitions for the inference of functions and the Fisher-functional.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Partition function approach to non-Gaussian likelihoods: partitions for the inference of functions and the Fisher-functional

Reference 11

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This paper cites Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains

Reference 12

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Partition function approach to non-Gaussian likelihoods: information theory and state variables for Bayesian inference

Reference 13

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Partition function approach to non-Gaussian likelihoods: Formalism and expansions for weakly non-Gaussian cosmological inference

Reference 14

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This paper cites Skilling , journal Bayesian Analysis volume 1 , pages 833 ( year 2006 ), ://doi.org/10.1214/06-BA127.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Skilling , journal Bayesian Analysis volume 1 , pages 833 ( year 2006 ), ://doi.org/10.1214/06-BA127

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Ashton , author N

Reference 16

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Feroz , author M

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Unresolved cited work

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Kilbinger , author D

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Polanska , author M

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Normalizing Flows for Probabilistic Modeling and Inference

Reference 21

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Bayesian evidence estimation from posterior samples with normalizing flows

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Understanding posterior projection effects with normalizing flows

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology $\mathtt{emuflow}$: Normalising Flows for Joint Cosmological Analysis

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Prathaban , author H

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Bevins , author W

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Unresolved cited work

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Rezende and author S

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology A Bayesian Characterization of Relative Entropy

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Ardizzone , author T

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Rota and author P

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Unresolved cited work

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Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Suzuki , author D

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This paper cites Kowalski , author D.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Kowalski , author D

Reference 36

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Observation d7094658-6138-49d6-91bd-da6167cfd556 · outbound

This paper cites Amanullah , author C.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Amanullah , author C

Reference 37

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Observation 92a016ad-ca03-4a49-8b0d-121c64d217a6 · outbound

This paper cites Arutjunjan , author B.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Arutjunjan , author B

Reference 38

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Observation 7a2c4795-7002-41b8-b57f-eedae599f1b2 · outbound

This paper cites X-ray spectral modelling of the AGN obscuring region in the CDFS: Bayesian model selection and catalogue.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology X-ray spectral modelling of the AGN obscuring region in the CDFS: Bayesian model selection and catalogue

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e0048390-8599-4555-afd0-b903d651f373 · outbound

This paper cites emcee: The MCMC Hammer.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology emcee: The MCMC Hammer

Reference 40

Resolution
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Unavailable: canonical work link unavailable.

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Observation 2a78f776-c7c5-4166-a409-13e4ab6b07c9 · outbound

This paper cites Ao and author J.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Ao and author J

Reference 41

Resolution
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Observation 3df79110-3d5a-44d2-9038-9cfebcc841f8 · outbound

This paper cites Describing variations of the Fisher-matrix across parameter space.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Describing variations of the Fisher-matrix across parameter space

Reference 42

Resolution
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Observation f3e38e83-9798-41e8-98b7-a1810c0ead47 · outbound

This paper cites Analyzing Inverse Problems with Invertible Neural Networks.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Analyzing Inverse Problems with Invertible Neural Networks

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f0a0db91-7e63-4b08-8e71-bc626f30fb50 · outbound

This paper cites o hler , author A. Kr \.

Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology o hler , author A. Kr \

Reference 44

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.