Probabilistic numerics
Probabilistic numerics is a scientific field at the intersection of statistics, machine learning and applied mathematics, where tasks in numerical analysis including finding numerical solutions for integration, linear algebra, optimisation and differential equations are seen as problems of statistical, probabilistic, or Bayesian inference.
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- enProbabilistic numerics is a scientific field at the intersection of statistics, machine learning and applied mathematics, where tasks in numerical analysis including finding numerical solutions for integration, linear algebra, optimisation and differential equations are seen as problems of statistical, probabilistic, or Bayesian inference.
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- Has abstract
- enProbabilistic numerics is a scientific field at the intersection of statistics, machine learning and applied mathematics, where tasks in numerical analysis including finding numerical solutions for integration, linear algebra, optimisation and differential equations are seen as problems of statistical, probabilistic, or Bayesian inference.
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- Probabilistic numerics
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- enProbabilistic numerics
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- github.com/f-dangel/backpack
- github.com/EmuKit/emukit
- github.com/probabilistic-numerics/probnum
- github.com/nathanaelbosch/ProbNumDiffEq.jl
- Link from a Wikipage to another Wikipage
- Abraham Wald
- Active learning (machine learning)
- Applied mathematics
- Approximate Bayesian computation
- Average-case analysis
- Bayesian experimental design
- Bayesian inference
- Bayesian optimization
- Bayesian quadrature
- Best, worst and average case
- Brownian motion
- Category:Applied mathematics
- Category:Applied statistics
- Category:Machine learning
- Computer simulation
- Conjugate gradient method
- Decision theory
- Deep learning
- Determinants
- Early stopping
- Empirical risk minimization
- File:Bayesian quadrature.svg
- File:GpParBayesAnimationSmall.gif
- File:Lorenz Probabilistic Numerics.jpg
- File:Matrix-based-probabilistic-linear-solver.svg
- Game theory
- Gaussian measure
- Gaussian process
- Gaussian quadrature
- Henri Poincaré
- Information-based complexity
- Inverse problem
- John von Neumann
- Kalman filter
- Learning rate
- Least squares
- Likelihood function
- Linear map
- Linear multistep method
- Line search
- Machine learning
- Mathematical optimization
- Mean squared error
- Mixed strategy
- Multi-armed bandit
- Normal distribution
- Numerical analysis
- Numerical integration
- Numerical linear algebra
- Numerical optimisation
- Ordinary differential equation
- Partial differential equations
- Posterior distribution
- Power series
- Prior probability
- Probability
- Quasi-Newton method
- Statistics
- Stochastic differential equation
- Stochastic optimization
- Systems of linear equations
- Trapezoidal rule
- Uncertainty quantification
- Utility function
- SameAs
- G6Txd
- Q109297617
- SeeAlso
- Bayesian optimization
- Subject
- Category:Applied mathematics
- Category:Applied statistics
- Category:Machine learning
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- Probabilistic numerics?oldid=1093887158&ns=0
- WikiPageLength
- 37600
- Wikipage page ID
- 69088046
- Wikipage revision ID
- 1093887158
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- Template:Main
- Template:Reflist
- Template:See also
- Template:Short description
