parameter-inference

There are 0 repository under parameter-inference topic.

pyABC
ICB-DCM / pyABC
distributed, likelihood-free inference
abc approximate-bayesian-inference likelihood-free-inference parameter-inference
Language:Python 217
RafaelArutjunjan / InformationGeometry.jl
Methods for computational information geometry
geodesics confidence-regions fisher-information manifolds parameter-inference profile-likelihood confidence-intervals
Language:Julia 50
oliverphilcox / full_shape_likelihoods
Full-Shape Power Spectrum and Bispectrum Likelihoods
large-scale-structure cosmology montepython parameter-inference power-spectrum-analysis bispectrum-analysis
Language:Python 13
necolab-ugr / ncpi
Neural circuit parameter inference using electrophysiological data
biomarkers brain-simulations electrophysiological-data neural-circuits parameter-inference
Language:Python 8
oliverphilcox / Spectra-Without-Windows
Estimators and data for window-free analysis of power spectra and bispectra
large-scale-structure bispectrum power-spectrum cosmology parameter-inference boss-dr12
Language:Python 6
selotape / G-PhoCS
G-PhoCS is a software package for inferring ancestral population sizes, population divergence times, and migration rates from individual genome sequences.
mcmc mcmc-sampler phylogenetics phylogenetic-trees population-genomics population-genetics model-comparison migrations migration inferential-statistical-analyses inference inferential-statistics loci locus ancestral-population genome-analysis bayesian-inference bayesian-statistics markov-chain-monte-carlo parameter-inference
Language:C++ 0
hassanfarhan777 / autoencoder-normalizing-flow-cosmology
Modular deep learning pipeline for simulating, compressing, and performing likelihood-based inference on high-dimensional cosmological fields using autoencoders and normalizing flows.
autoencoder deep-learning generative-models likelihood-estimation normalizing-flows parameter-inference
Language:Jupyter Notebook