Multinomial and hypergeometric distributions in Markov categories
From MaRDI portal
Publication:6653751
DOI10.4204/eptcs.351.7MaRDI QIDQ6653751
Publication date: 17 December 2024
Semantics in the theory of computing (68Q55) Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.) (68N30)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Picturing classical and quantum Bayesian inference
- Categories of quantum and classical channels
- Probabilistic coherence spaces as a model of higher-order probabilistic computation
- A categorical foundation for Bayesian probability
- Coherence for compact closed categories
- From probability monads to commutative effectuses
- A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statistics
- Towards a Formal Theory of Graded Monads
- Dagger Compact Closed Categories and Completely Positive Maps
- Commutative monads as a theory of distributions
- Picturing Quantum Processes
- Pointless Learning
- New Directions in Categorical Logic, for Classical, Probabilistic and Quantum Logic
- Robustly Parameterised Higher-Order Probabilistic Models
- Semantics for probabilistic programming
- Infinite products and zero-one laws in categorical probability
- The Logical Essentials of Bayesian Reasoning
- Disintegration and Bayesian inversion via string diagrams
- Generic Trace Semantics and Graded Monads.
- Affine Monads and Side-Effect-Freeness
- Monads for measurable queries in probabilistic databases
- Learning from what's right and learning from what's wrong
Related Items (2)
Monads for measurable queries in probabilistic databases ⋮ Learning from what's right and learning from what's wrong
This page was built for publication: Multinomial and hypergeometric distributions in Markov categories
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6653751)