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Updated: Jul 14, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Faster inference of complex demographic models from large allele frequency spectra
Enes Dilber1, Jiatong Liang1, Junyan Tan1
1Department of Statistics, University of Michigan, Ann Arbor, MI 48109, United States.
Motivation:
Demographic inference from the joint site frequency spectrum is limited by computation when many populations or many samples are analyzed.
Results:
We present momi3, a JAX-based method for inferring complex demographic models from large allele frequency spectra. It supports continuous migration, GPU execution, automatic differentiation, standardized demographic model input, and genealogical pruning. These changes yield speedups up to 1000× over existing methods and enable analysis of archaic admixture models using hundreds of human genomes.
Availability And Implementation:
momi3 is implemented in Python/JAX as part of demestats. Source code is available at https://github.com/jthlab/demestats; documentation is available at https://demestats.readthedocs.org.
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