ArticleRoyal Society open science2022
Sparsifying priors for Bayesian uncertainty quantification in model discovery.
Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
17 citing papers in PubMed.
- Bayesian inference of gene regulatory networks at stochastic steady state.Journal of the Royal Society, Interface · 2026Article
- Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Predicting mosquito flight behavior using Bayesian dynamical systems learning.Science advances · 2026Article
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- Bayesian Inference of Gene Regulatory Networks at Stochastic Steady State.bioRxiv : the preprint server for biology · 2026Article
- Data-driven discovery of digital twins in biomedical research.Briefings in bioinformatics · 2026Review
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- Sparse identification of nonlinear dynamics applied to the acoustic levitation of acoustically large objects.Scientific reports · 2025Article
- Increasing certainty in systems biology models using Bayesian multimodel inference.Nature communications · 2025Article
- Derivative-Free Domain-Informed Data-Driven Discovery of Sparse Kinetic Models.Industrial & engineering chemistry research · 2025Article
- Training stiff neural ordinary differential equations with implicit single-step methods.Chaos (Woodbury, N.Y.) · 2024Article
- Nonlinear parametric models of viscoelastic fluid flows.Royal Society open science · 2024Article
- Bayesian polynomial neural networks and polynomial neural ordinary differential equations.PLoS computational biology · 2024Article
- From biological data to oscillator models using SINDy.iScience · 2024Article
- Bayesian parameter estimation for dynamical models in systems biology.PLoS computational biology · 2022Article
- Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control.Proceedings. Mathematical, physical, and engineering sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose a probabilistic model discovery method for identifying ordinary differential equations governing the dynamics of observed multivariate data. Our method is based on the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.