ArticleSIAM/ASA journal on uncertainty quantification2020
Stratification as a general variance reduction method for Markov chain Monte Carlo.
Article in SIAM/ASA journal on uncertainty quantification, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Predicting rare events using neural networks and short-trajectory data.Journal of computational physics · 2023Article
- Understanding the sources of error in MBAR through asymptotic analysis.The Journal of chemical physics · 2023Article
- Computing transition path theory quantities with trajectory stratification.The Journal of chemical physics · 2022Article
- Long-Time-Scale Predictions from Short-Trajectory Data: A Benchmark Analysis of the Trp-Cage Miniprotein.Journal of chemical theory and computation · 2021Article
- Insulin Dissociates by Diverse Mechanisms of Coupled Unfolding and Unbinding.The journal of physical chemistry. B · 2020Article
- Eigenvector method for umbrella sampling enables error analysis.The Journal of chemical physics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The Eigenvector Method for Umbrella Sampling (EMUS) [46] belongs to a popular class of methods in statistical mechanics which adapt the principle of stratified survey sampling to the computation of free energies. We develop a detailed theoretical analysis of EMUS. Based on this analysis, we show that EMUS is an efficient
Identifiers
What OpenQuestion holds
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.