Statistical phylogenetics is a research field focused on inferring evolutionary relationships and processes using statistical models and computational methods. This discipline applies probabilistic frameworks to analyze biological data, such as DNA sequences or morphological characters, to reconstruct phylogenetic trees, estimate evolutionary parameters like divergence times and rates, and infer ancestral states, providing a rigorous quantitative basis for understanding the history and mechanisms of biological diversification.