Jixin Chen
Jixin Chen
Optimization of parameters and hyperparameters is a general process for any data analysis. Because not all models are mathematically well-behaved, stochastic optimization can be useful in many analyses by randomly choosing parameters in eac...
Approximate Bayesian computational methods to estimate the strength of divergent selection in population genomics models [0.03%]
利用群体基因组模型估计分歧选择强度的近似贝叶斯计算方法
Martyna Lukaszewicz,Ousseini Issaka Salia,Paul A Hohenlohe et al.
Martyna Lukaszewicz et al.
Statistical estimation of parameters in large models of evolutionary processes is often too computationally inefficient to pursue using exact model likelihoods, even with single-nucleotide polymorphism (SNP) data, which offers a way to redu...