ArticlePeerJ. Computer science2023
PyMC: a modern, and comprehensive probabilistic programming framework in Python.
Article in PeerJ. Computer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 505 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
505 citing papers in PubMed.
- The probability of reducing hospitalization rates for bronchiolitis with epinephrine and dexamethasone: A Bayesian analysis.PloS one · 2025Trial
- A histidine-mediated supramolecular mechanism links temperature and pH activation of the sperm channel CatSper.PLoS biology · 2026Article
- Rapid genome-wide purging following tsunami-induced hybridization in a stickleback population.Nature ecology & evolution · 2026Article
- Older patients and intensive care: factors that influence patients decisions on life sustaining measures.BMC geriatrics · 2026Article
- Article
- ShapeME: A Tool and Web Front-end for De Novo Discovery of Structural Motifs Underpinning Protein-DNA Interactions.Journal of molecular biology · 2026Article
- Article
- Bayesian inference of gene regulatory networks at stochastic steady state.Journal of the Royal Society, Interface · 2026Article
- Pervasive Positive Selection on X-linked Ampliconic Genes in Primates.Genome biology and evolution · 2026Article
- Physiological Evidence for the Time-dependent Resolution of Response Conflicts.Journal of cognitive neuroscience · 2026Article
- Forecasting the future of American mass shootings with Bayesian agent-based model calibration.PNAS nexus · 2026Article
- Modeling decision dynamics disentangles working memory, cognitive control and reinforcement learning and reveals clinical differences.PLoS computational biology · 2026Article
- A Systems Pharmacology Model of Aging Identifies Optimal Combination Therapies With Secondary Benefits on Weight Loss and Metabolic Health.CPT: pharmacometrics & systems pharmacology · 2026Article
- Quantifying milk yield-dependent aflatoxin B1-to-M1 transfer in dairy cows: a Bayesian consensus toxicokinetic model.Archives of toxicology · 2026Article
- Continuity in geometric intuition between humans and monkeys.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Focused ultrasound blood-brain barrier opening reveals a paradoxical remote metabolic response in the primate brain.Science advances · 2026Article
- Gait speed recovery after iliofemoral ligament-preserving hip arthroscopy for femoroacetabular impingement: associations with early postoperative gait kinematics.Archives of orthopaedic and trauma surgery · 2026Article
- Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.Statistics in medicine · 2026Article
- Variation in trabecular bone microarchitecture across rhesus macaque (Macaca mulatta) load-bearing joints.Journal of anatomy · 2026Article
- Linking Abundance and Activity of Ammonia-Oxidising Bacteria and Archaea in an Agriculturally Impacted First-Order Stream.Environmental microbiology · 2026Article
445 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax statisticians use to describe models. PyMC leverages the symbolic computation library PyTensor, allowing it to be compiled into a variety of computational backends, such as C, JAX, and Numba, which in turn offer access to different computational architectures including CPU, GPU, and TPU. Being a general modeling framework, PyMC supports a variety of models including generalized hierarchical linear regression and classification, time series, ordinary differential equations (ODEs), and non-parametric models such as Gaussian processes (GPs). We demonstrate PyMC's versatility and ease of use with examples spanning a range of common statistical models. Additionally, we discuss the positive role of PyMC in the development of the open-source ecosystem for probabilistic programming.
Indexed as
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.