Search Results for author: Timur Takhtaganov

Found 2 papers, 0 papers with code

Cosmic Inference: Constraining Parameters With Observations and Highly Limited Number of Simulations

no code implementations17 May 2019 Timur Takhtaganov, Zarija Lukic, Juliane Mueller, Dmitriy Morozov

Cosmological probes pose an inverse problem where the measurement result is obtained through observations, and the objective is to infer values of model parameters which characterize the underlying physical system -- our Universe.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics

Adaptive Gaussian process surrogates for Bayesian inference

no code implementations27 Sep 2018 Timur Takhtaganov, Juliane Müller

We adaptively construct training designs by maximizing the expected improvement in fit of the Gaussian process model to the noisy observational data.

Bayesian Inference

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