ReviewBiophysical journal2015
A primer on Bayesian inference for biophysical systems.
Review in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers.
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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.
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Who cites it
33 citing papers in PubMed.
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.Biophysical journal · 2025Article
- Inference and prediction for stochastic models of biological populations undergoing migration and proliferation.Journal of the Royal Society, Interface · 2025Review
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.bioRxiv : the preprint server for biology · 2025Article
- Using Bayesian priors to overcome non-identifiablility issues in Hidden Markov models.bioRxiv : the preprint server for biology · 2025Article
- A mathematical framework for human neutrophil state transitions inferred from single-cell RNA sequence data.Frontiers in immunology · 2025Article
- Superstatistics Applied to Cucurbitaceae DNA Sequences.Entropy (Basel, Switzerland) · 2024Article
- Bayesian Mechanistic Inference, Statistical Mechanics, and a New Era for Monte Carlo.Journal of chemical theory and computation · 2024Review
- A Bayesian Analysis of Plant DNA Length Distribution viaEntropy (Basel, Switzerland) · 2022Article
- Computational Proposal for Tracking Multiple Molecules in a Multifocus Confocal Setup.ACS photonics · 2022Article
- Article
- SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics.Methods (San Diego, Calif.) · 2021Article
- Statistical analysis of ENDOR spectra.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Article
- Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation.Bioinformatics (Oxford, England) · 2020Article
- An automatic adaptive method to combine summary statistics in approximate Bayesian computation.PloS one · 2020Article
- Quantitative Kinetic Models from Intravital Microscopy: A Case Study Using Hepatic Transport.The journal of physical chemistry. B · 2019Article
- An alternative framework for fluorescence correlation spectroscopy.Nature communications · 2019Article
- BEES: Bayesian Ensemble Estimation from SAS.Biophysical journal · 2019Article
- A Bayesian Nonparametric Approach to Single Molecule Förster Resonance Energy Transfer.The journal of physical chemistry. B · 2019Article
- Dynamic domain arrangement of CheA-CheY complex regulates bacterial thermotaxis, as revealed by NMR.Scientific reports · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
1 author.
Funding
Abstract
Bayesian inference is a powerful statistical paradigm that has gained popularity in many fields of science, but adoption has been somewhat slower in biophysics. Here, I provide an accessible tutorial on the use of Bayesian methods by focusing on example applications that will be familiar to biophysicists. I first discuss the goals of Bayesian inference and show simple examples of posterior inference using conjugate priors. I then describe Markov chain Monte Carlo sampling and, in particular, discuss Gibbs sampling and Metropolis random walk algorithms with reference to detailed examples. These Bayesian methods (with the aid of Markov chain Monte Carlo sampling) provide a generalizable way of rigorously addressing parameter inference and identifiability for arbitrarily complicated models.
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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.