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AutoconversionSamplingTests

These notebooks contain tests of various sampling methods for Markov chain Monte Carlo algorithms. These algorithms are mainly used for test problems that involve fitting a power law formula to autoconversion rate data, e.g. for use in a bulk cloud microphysics scheme.

Copyright information for IPython notebooks in this repository

Copyright 2022 Sean Patrick Santos

Licensed under the Apache License, Version 2.0 (the "License"); you may not use these files except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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Tests of sampling methods on the problem of inferring power law parameters for autoconversion

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