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Package: libtasmaniandream8 (8.1-4)

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Tasmanian module for drawing samples from an arbitrary probability distribution

The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN (Tasmanian) is a collection of robust libraries for high dimensional integration and interpolation as well as parameter calibration.

This package provides a shared library that implements the DiffeRential Evolution Adaptive Metropolis (DREAM), which is a method to draw samples from an arbitrary probability distribution defined by an arbitrary non-negative function. The DREAM approach is similar to the classical Markov Chain Monte Carlo, but it evolves a large number of chains simultaneously which leads to better parallelization and (potentially) faster convergence. In addition, multiple chains allow for better exploration of the probability domain, which is often advantageous when working with multi-modal distributions.

One of the main applications of DREAM is in the field of Bayesian inference, where samples are drawn from a posterior distribution comprised from a data-informed likelihood and an arbitrary model. The DREAM module of Tasmanian can use Tasmanian Sparse Grids approximation to either the model or the likelihood.

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Architecture Package Size Installed Size Files
alpha (unofficial port) 45.5 kB216.0 kB [list of files]
amd64 47.2 kB155.0 kB [list of files]
arm64 43.0 kB151.0 kB [list of files]
armel 40.0 kB151.0 kB [list of files]
armhf 39.5 kB151.0 kB [list of files]
i386 48.3 kB150.0 kB [list of files]
loong64 (unofficial port) 45.5 kB151.0 kB [list of files]
m68k (unofficial port) 44.2 kB135.0 kB [list of files]
mips64el 45.6 kB223.0 kB [list of files]
ppc64 (unofficial port) 50.2 kB217.0 kB [list of files]
ppc64el 49.6 kB215.0 kB [list of files]
riscv64 45.8 kB123.0 kB [list of files]
s390x 47.3 kB155.0 kB [list of files]
sh4 (unofficial port) 52.3 kB150.0 kB [list of files]
sparc64 (unofficial port) 39.9 kB1,050.0 kB [list of files]
x32 (unofficial port) 46.9 kB143.0 kB [list of files]