II.
LibrarySkill overview
Reference · livelib-skill:mathematics--pymc-probabilistic-programming
pymc-probabilistic-programming overview
PyMC for flexible Bayesian modeling
Attributes
displayName
pymc-probabilistic-programming
description
PyMC for flexible Bayesian modeling
libraryPath
library/specializations/domains/science/mathematics/skills/pymc-probabilistic-programming/SKILL.md
specialization
mathematics
contentSummary
# PyMC Probabilistic Programming
## Purpose
Provides PyMC capabilities for flexible Bayesian modeling and probabilistic programming in Python.
## Capabilities
- Hierarchical model specification
- Custom distributions
- Gaussian processes
- MCMC and variational inference
- Model diagn
Outgoing edges
lib_applies_to_domain1
- domain:mathematics·DomainMathematics
lib_belongs_to_specialization2
- specialization:computational-mathematics·SpecializationComputational Mathematics
- specialization:mathematics·SpecializationMathematics
lib_implements_workflow1
- workflow:experiment-design·WorkflowExperiment Design
lib_involves_role2
- role:research-scientist·RoleResearch Scientist
- role:data-scientist·RoleData 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.