Bayesian Phylogenetic Inference
基于贝叶斯统计框架的系统发育推断方法，使用马尔可夫链蒙特卡洛采样估计后验概率分布。 该方法能同时估计树拓扑、分支长度和模型参数的不确定性，适合分子钟和分歧时间估计。
| Property | Value |
|---|---|
| Purpose | 贝叶斯框架的系统发育推断和分歧时间估计 |
| Time Complexity | O(n^2 * s * r) |
| Space Complexity | O(n * s) |
| Year | 2001 |
| Category | Phylogenetics |
Complexity Analysis
- Time Complexity:
O(n^2 * s * r) - Space Complexity:
O(n * s)
Performance Insight: The time complexity of this algorithm is polynomial.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
Related Tools
MrBayes · BEAST2 · RevBayes