II.
LibrarySkill overview
Reference · livelib-skill:physics--pymc-bayesian-modeler
pymc-bayesian-modeler overview
PyMC probabilistic programming skill for hierarchical Bayesian models in physics data analysis
Attributes
displayName
pymc-bayesian-modeler
description
PyMC probabilistic programming skill for hierarchical Bayesian models in physics data analysis
libraryPath
library/specializations/domains/science/physics/skills/pymc-bayesian-modeler/SKILL.md
specialization
physics
contentSummary
# PyMC Bayesian Modeler
## Purpose
Provides expert guidance on PyMC for Bayesian modeling in physics, including hierarchical models and advanced inference methods.
## Capabilities
- Probabilistic model construction
- NUTS/HMC sampling
- Variational inference
- Gaussian processes
- Mo
Outgoing edges
lib_applies_to_domain1
- domain:physics·DomainPhysics
lib_belongs_to_specialization1
- specialization:physics·SpecializationPhysics
lib_implements_workflow2
- workflow:experiment-design·WorkflowExperiment Design
- workflow:peer-review-cycle·WorkflowPeer Review Cycle
lib_involves_role2
- role:research-scientist·RoleResearch Scientist
- role:computational-scientist·RoleComputational Scientist
lib_requires_skill_area3
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:mathematical-reasoning·SkillAreaMathematical Reasoning
- skill-area:data-analysis·SkillAreaData Analysis
Incoming edges
None.