17 Packages since 2013
User Packages
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Bridge.jl79A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
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CausalInference.jl64Causal inference, graphical models and structure learning with the PC algorithm.
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Kalman.jl43Flexible filtering and smoothing in Julia
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ZigZagBoomerang.jl42Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
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Mitosis.jl27Automatic probabilistic programming for scientific machine learning and dynamical models
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DynamicIterators.jl17Iterators with message passing and feedback loops
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GaussianDistributions.jl13Gaussian distributions as state variables and for uncertainty quantification with Unitful
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GoldenSequences.jl10Generalized golden sequences, a form of low discrepancy sequence or quasi random numbers
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MitosisStochasticDiffEq.jl6Backward-filtering forward-guiding with StochasticDiffEq.jl
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IDRsSolver.jl5++ incorporated into https://github.com/JuliaLang/IterativeSolvers.jl ++ Induced Dimension Reduction method IDR(s) for solving general non-symmetric linear equations using a Krylov method, for example ordinary linear equations or Sylvester and Stein equations.
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Trajectories.jl4Maps from the line into spaces
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BayesEstDiffusion.jl3Code accompanying the paper Frank van der Meulen, Moritz Schauer: Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals
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BridgeLandmarks.jl3Image analysis and stochastic processes on shape and landmark spaces.
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SDE.jl3This package is obsoleted by https://github.com/mschauer/Bridge.jl
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PointProcessInference.jl3Statistical inference for Poisson Processes
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MicrostructureNoise.jl2Nonparametric Bayesian volatility learning under microstructure noise
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FingerTrees.jl1The persistent data structure Finger Tree in Julia
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