# Credits¶

## Algorithms¶

delfi implements algorithms from the following papers:

• Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
by Papamakarios & Murray (NeurIPS 2016)
[PDF] [BibTeX]

• Flexible statistical inference for mechanistic models of neural dynamics
by Lueckmann, Goncalves, Bassetto, Öcal, Nonnenmacher & Macke (NeurIPS 2017)
[PDF] [BibTeX]

• Automatic posterior transformation for likelihood-free inference
by Greenberg, Nonnenmacher & Macke (ICML 2019)
[PDF] [BibTeX]

We refer to these algorithms as SNPE-A, SNPE-B, and SNPE-C/APT, respectively.

## Code¶

delfi.distribution and delfi.neuralnet build on code written by George Papamakarios. The separation of classes in delfi is partially inspired by the design of ELFI: Engine for Likelihood-Free Inference.

Modified work Copyright (c) 2019, David Greenberg, Marcel Nonnemacher, Jan-Matthis Lueckmann, Pedro J. Goncalves, Kaan Öcal, Jakob H. Macke
Modified work Copyright (c) 2017, Jan-Matthis Lueckmann, Pedro J. Goncalves, Jakob H. Macke
Original work Copyright (c) 2016, George Papamakarios

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

The views and conclusions contained in the software and documentation are those
of the authors and should not be interpreted as representing official policies,
either expressed or implied, of anybody else.