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CausalInference.jl
Causal inference, graphical models and structure learning in JuliaBridge.jl
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.ZigZagBoomerang.jl
Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selectionKalman.jl
Flexible filtering and smoothing in JuliaMitosis.jl
Automatic probabilistic programming for scientific machine learning and dynamical modelsDynamicIterators.jl
Iterators with message passing and feedback loopsGaussianDistributions.jl
Gaussian distributions as state variables and for uncertainty quantification with UnitfulMitosisStochasticDiffEq.jl
Backward-filtering forward-guiding with StochasticDiffEq.jlPointProcessInference.jl
Statistical inference for Poisson ProcessesMicrostructureNoise.jl
Nonparametric Bayesian volatility learning under microstructure noiseTrajectories.jl
Maps from the line into spacesIDRsSolver.jl
++ 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.BridgeLandmarks.jl
Image analysis and stochastic processes on shape and landmark spaces.BayesEstDiffusion.jl
Code accompanying the paper Frank van der Meulen, Moritz Schauer: Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposalsSDE.jl
This package is obsoleted by https://github.com/mschauer/Bridge.jlnonparbayes
Tour through non-parametric Bayesian regression in Fourier domain using Julia https://mschauer.github.io/nonparbayes/BridgeSPDE.jl
Stochastic partial differential equations with Bridge.jlGaussian-conditional-distributions
Community document on Gaussian conditional distributions (draft, LaTeX)StructuresSeminar
Statistics for Structures SeminarSchauder.jl
A graphical perspective on Gauss-Markov process priors and fast sparse Cholesky for hierarchically structured (generalized arrow) matricesFingerTrees.jl
The persistent data structure Finger Tree in JuliaLove Open Source and this site? Check out how you can help us