#
stochastic-process
Here are 25 public repositories matching this topic...
mds2120
commented
Oct 17, 2018
Each section of the Users Manual should have a small discussion of theory behind the method. This should be just enough to understand the inputs and outputs, without derivations (typically no more than one page, see e.g. Nataf). If the theory is complex and requires elaborate discussion, references should be provided that give adequate background to the user.
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MCS
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LHS
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STS
Open
SROM Examples
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
stochastic
stochastic-process
drift
stochastic-differential-equations
drift-diffusion
diffusion
kernel-density-estimation
nadaraya-watson
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Updated
May 26, 2020 - Python
A framework for discrete-time Markov chains analysis.
simulation
probability
markov-chain
markov
statistical-analysis
fitting
mathematical-analysis
plotting
stochastic-process
statistical-models
probabilistic-models
mathematical-models
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Updated
Jan 28, 2020 - Python
Numerical experiments with stochastic differential equations in Haskell
time-series
dynamical-systems
stochastic-process
numerical-methods
sde
stochastic-differential-equations
numerical-integration
stochastic-processes
stochastic-volatility-models
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Updated
Dec 21, 2018 - Haskell
A tiny package to compute the dynamics of stochastic and molecular simulations
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Updated
Feb 13, 2020 - Python
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
julia
stochastic-process
mcmc
poisson
point-process
poisson-process
poisson-distribution
spatial-statistics
point-process-analysis
cluster-process
point-processes
empirical-distributions
point-process-models
cluster-pattern
poisson-disk
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Updated
May 26, 2020 - Python
C++ implementation of the Structural Preferential Attachment network growth simulation
cmake
spa
simulation
paper
community-detection
network-science
edges
growth
preferential-attachment
stochastic-process
clustering-benchmark
spa-process
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Updated
May 23, 2016 - C++
Geostatistical Inversion
julia
inversion
randomization
matrix-factorization
calibration
high-performance-computing
stochastic-process
parameter-estimation
heterogenity
inverse-problems
geostatistics
mads
aquifer
permeability
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Updated
Feb 8, 2020 - Julia
This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286
matlab
biological-simulations
stochastic-process
multilevel-models
numerical-simulations
stochastic-simulation-algorithm
numerical-analysis
monte-carlo-methods
biological-networks
multilevel
importance-sampling
multilevel-monte-carlo
stochastic-reaction-networks
stochastic-biological-systems
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Jun 28, 2020 - MATLAB
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Updated
Apr 23, 2019 - Jupyter Notebook
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Updated
Aug 30, 2019 - R
Genetic algorithm implementation for Sudoku
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Updated
Apr 20, 2017 - Swift
物理シミュレーション(微分方程式・確率過程の数値解析)
stochastic-process
physics-simulation
numerical-analysis
probability-density-function
partial-differential-equation
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Apr 8, 2020 - Jupyter Notebook
Stochastic grammar library implemented in Java.
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Updated
May 7, 2019 - Java
Minimalist Matlab implementation of a random process generation in one point
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Updated
Jun 11, 2020 - MATLAB
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Updated
Jun 1, 2020 - C#
The Coastal version of the Stochastic Multcloud model
markov-chain
atmospheric-modelling
stochastic-process
convection
ising-spin-models
stochastic-modelling
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Updated
May 25, 2018 - Python
C++ code to solve a general stochastic differential equation (SDE)
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Updated
May 14, 2018 - C++
A multi agent dynamics application of lloyd's deployment algorithm bases on centroidal veronoi tesselations
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Updated
Apr 15, 2019 - MATLAB
Python implementation of fractional brownian motion
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Updated
Jul 3, 2020 - Python
for modeling random walks: https://en.wikipedia.org/wiki/Random_walk
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Dec 10, 2018 - Python
Simulates a disease spreading through a community in random motion.
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Updated
Apr 18, 2020 - Jupyter Notebook
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The following text is a request from Emmanuel Ardillon in the EDF internal bug tracker:
Subset simulation is available in OpenTURNS, but it does not appear either in the "Theory" part of the doc or in the "Examples" part.
The only available information concerns the SubsetSampling class in the API part of the doc.
An example would make it more accessible to users.
What is needed: