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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.

169,341 papers · 148 categories

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4 results for “transdimensional”

Variational Transdimensional Inferencestat.CO

CoSMIC extends flow-based SVI to transdimensional problems.

problem Bayesian structure learning and model selection with multi-model parameter spaces.

method Normalizing flows with a combined stochastic variational transdimensional inference approach.

result Improved performance on high-cardinality model spaces.

flow-based models stochastic variational inference transdimensional inference Bayesian structure learning model selection

2025-06-05abs ↗pdf ↗

Structured Dimension-Matched Joint Variational Transdimensional Inferencestat.CO

SM-VTI infers model parameters and structure efficiently.

problem Bayesian model selection with discrete indicators and continuous parameters.

method Structured dimension-matched variational transdimensional inference (SM-VTI).

result Stronger early model-mass recovery and competitive final joint accuracy.

variational inference transdimensional model selection Bayesian

2026-08-06abs ↗pdf ↗

Transport Reversible Jump Proposalsstat.CO

Enhances RJMCMC efficiency with non-linear transport-based proposals.

problem Designing efficient RJMCMC proposals for complex models.

method Applies non-linear transport-based approach to construct efficient transdimensional jumps.

result Acceptance probability depends only on model probabilities when exact transports are used.

Reversible jump MCMC Density estimation Normalizing flows Transport-based proposals Efficient sampling

2022-10-22abs ↗pdf ↗

Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and

H_0

inferenceastro-ph.CO

Bayesian Gaussian Processes improve exoplanet transit and Hubble constant inference.

problem Improving exoplanet transit and Hubble constant inference using Bayesian Gaussian Processes.

method Kernel-, mean- and noise-marginalised Gaussian Processes with evidence-based model comparison and transdimensional sampling.

result Inferred Hubble constant

H_0

values from cosmic chronometers, baryon acoustic oscillations and combined datasets are

66 \pm 6\, \mathrm{km}\,\mathrm{s}^{-1}\,\mathrm{Mpc}^{-1}

67 \pm 10\, \mathrm{km}\,\mathrm{s}^{-1}\,\mathrm{Mpc}^{-1}

and

69 \pm 6\, \mathrm{km}\,\mathrm{s}^{-1}\,\mathrm{Mpc}^{-1}

, respectively.

Bayesian Gaussian Processes Exoplanet Transits Hubble Constant Cosmic Chronometers Baryon Acoustic Oscillations

2023-11-07abs ↗pdf ↗