Pith. sign in

REVIEW 2 cited by

A note on the relationship between PDE-based precision operators and Mat\'ern covariances

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2407.00471 v1 pith:RYJOFTWN submitted 2024-06-29 math.NA cs.NAmath.PRstat.CO

classification math.NAcs.NAmath.PRstat.CO
keywords noteprecisionrelationshipcoefficientscorrelationcorrespondingcovariancecovariances
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The purpose of this technical note is to summarize the relationship between the marginal variance and correlation length of a Gaussian random field with Mat\'ern covariance and the coefficients of the corresponding partial-differential-equation (PDE)-based precision operator.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Tucker Tensor Train Taylor Series

    math.NA 2026-03 conditional novelty 7.0 of 10

    Tucker tensor train Taylor series (T4S) makes high-order local Taylor surrogates tractable for high-dimensional implicit maps using symmetric derivative probes and Riemannian rank-adaptive fitting.

  2. LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport

    math.NA 2024-11 conditional novelty 6.0 of 10

    A new amortized Bayesian inversion method trains a derivative-informed neural surrogate of the parameter-to-observable map and then uses it to optimize a lazy transport map in a low-dimensional latent space.

Pith tools