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A brief summary of the main features of Fesslix:
- Perform non-intrusive reliability analysis or Bayesian updating either
--- by running commands on the command line or
--- by means of an Octave interface or
--- by means of a Python interface
- Flexible input language for writing Fesslix parameter files
--- Control flow statements (e.g. if, for, while)
--- Most parameters can be defined as functions
- Working with response surfaces
- Linear finite element analysis using truss, beam and plane stress/strain elements
- Spectral Stochastic Finite Elements
- Bayesian networks
This is the download page for Windows executables of Fesslix.
approximate Bayesian computation for stochastic differential equations
A MATLAB toolbox for approximate Bayesian computation (ABC) in stochastic differential equation models.
It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
QHQ++ is a C++ library includes: QHQc++ (C++ Numerical Library), QHQmcmc++ (Markov Chain Monte Carlo C++ Library, Bayesian Statistics), QHQsv++ (Stochastic Volatility C++ Library, Finance), QHQyc++ (Yield Curve Modeling C++ Library, Finance).