Likelihood-Based Inference and Model Selection for Stochastic Gene Expression in Probability-Generating-Function Space

Selecting stochastic gene-expression models from single-cell counts requires accurate parameter inference and efficient model selection.

Selecting stochastic gene-expression models from single-cell counts requires accurate parameter inference and efficient model selection. Likelihood methods in count space can be costly when full stationary count distributions are unavailable, whereas approximate methods may lose…