Pith. sign in

REVIEW 1 cited by

Statistical inference for dynamical systems: a review

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

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 1204.6265 v3 pith:2AMPTQ6L submitted 2012-04-27 math.ST math.DSstat.TH

Kevin McGoff , Sayan Mukherjee , Natesh S. Pillai This is my paper · ORCID
classification math.STmath.DSstat.TH
keywords dynamicalsystemsacrossinferencestatisticalbeencommondisciplines
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The topic of statistical inference for dynamical systems has been studied extensively across several fields. In this survey we focus on the problem of parameter estimation for non-linear dynamical systems. Our objective is to place results across distinct disciplines in a common setting and highlight opportunities for further research.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

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

  1. Filtering and Statistical Properties of Unimodal Maps Perturbed by Heteroscedastic Noises

    math.ST 2024-11 conditional novelty 6.0 of 10

    For a class of unimodal maps with state-dependent dynamical and observational noise, the paper proves filter stability, a central limit theorem, and large deviations; extreme value and Poisson results are proven only ...

Pith tools