stanhf: HistFactory models in the probabilistic programming language Stan

In collider physics, experiments are often based on counting the numbers of events in bins of a histogram. We present a new way to build and analyze statistical models that describe these experiments, based on the probabilistic programming language Stan and the HistFactory specification. A command-l...

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Veröffentlicht in:The European physical journal. C, Particles and fields Jg. 85; H. 8; S. 923 - 12
1. Verfasser: Fowlie, Andrew
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 30.08.2025
Springer Nature B.V
SpringerOpen
Schlagworte:
Astronomy
Astrophysics and Cosmology
Elementary Particles
Hadrons
Heavy Ions
High energy physics
Measurement Science and Instrumentation
Metadata
Nuclear Energy
Nuclear Physics
Physics
Physics and Astronomy
Probability theory
Programming languages
Python
Quantum Field Theories
Quantum Field Theory
Regular Article - Computing
Software and Data Science
Specifications
Statistical analysis
Statistical models
String Theory
ISSN:1434-6052, 1434-6044, 1434-6052
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Abstract In collider physics, experiments are often based on counting the numbers of events in bins of a histogram. We present a new way to build and analyze statistical models that describe these experiments, based on the probabilistic programming language Stan and the HistFactory specification. A command-line tool transpiles HistFactory models into Stan code and data files. Because Stan is an imperative language, it enables richer and more detailed modeling, as modeling choices defined in the HistFactory declarative specification can be tweaked and adapted in the Stan language. Stan was constructed with automatic differentiation, allowing modern computational algorithms for sampling and optimization.
AbstractList Abstract In collider physics, experiments are often based on counting the numbers of events in bins of a histogram. We present a new way to build and analyze statistical models that describe these experiments, based on the probabilistic programming language Stan and the HistFactory specification. A command-line tool transpiles HistFactory models into Stan code and data files. Because Stan is an imperative language, it enables richer and more detailed modeling, as modeling choices defined in the HistFactory declarative specification can be tweaked and adapted in the Stan language. Stan was constructed with automatic differentiation, allowing modern computational algorithms for sampling and optimization.
In collider physics, experiments are often based on counting the numbers of events in bins of a histogram. We present a new way to build and analyze statistical models that describe these experiments, based on the probabilistic programming language and the specification. A command-line tool transpiles models into code and data files. Because is an imperative language, it enables richer and more detailed modeling, as modeling choices defined in the declarative specification can be tweaked and adapted in the language. was constructed with automatic differentiation, allowing modern computational algorithms for sampling and optimization.
In collider physics, experiments are often based on counting the numbers of events in bins of a histogram. We present a new way to build and analyze statistical models that describe these experiments, based on the probabilistic programming language Stan and the HistFactory specification. A command-line tool transpiles HistFactory models into Stan code and data files. Because Stan is an imperative language, it enables richer and more detailed modeling, as modeling choices defined in the HistFactory declarative specification can be tweaked and adapted in the Stan language. Stan was constructed with automatic differentiation, allowing modern computational algorithms for sampling and optimization.
In collider physics, experiments are often based on counting the numbers of events in bins of a histogram. We present a new way to build and analyze statistical models that describe these experiments, based on the probabilistic programming language Stan and the HistFactory specification. A command-line tool transpiles HistFactory models into Stan code and data files. Because Stan is an imperative language, it enables richer and more detailed modeling, as modeling choices defined in the HistFactory declarative specification can be tweaked and adapted in the Stan language. Stan was constructed with automatic differentiation, allowing modern computational algorithms for sampling and optimization.
ArticleNumber 923
Author Fowlie, Andrew
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  organization: X-HEP Laboratory, Department of Physics, School of Mathematics and Physics, Xi’an Jiaotong-Liverpool University
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Snippet In collider physics, experiments are often based on counting the numbers of events in bins of a histogram. We present a new way to build and analyze...
Abstract In collider physics, experiments are often based on counting the numbers of events in bins of a histogram. We present a new way to build and analyze...
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SubjectTerms Astronomy
Astrophysics and Cosmology
Elementary Particles
Hadrons
Heavy Ions
High energy physics
Measurement Science and Instrumentation
Metadata
Nuclear Energy
Nuclear Physics
Physics
Physics and Astronomy
Probability theory
Programming languages
Python
Quantum Field Theories
Quantum Field Theory
Regular Article - Computing
Software and Data Science
Specifications
Statistical analysis
Statistical models
String Theory
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Title stanhf: HistFactory models in the probabilistic programming language Stan
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