hidden-markov-models - P(λ) 是隐马尔可夫模型中的先验概率是什么意思？

Question

给定以下参数：

• λ = (A,B,π)。
• A = 状态转移矩阵
• A = { a[i][j] } = { P(状态 q[i] at t | state q[j] at t+1) },
• B = 观察矩阵和
• π = 初始分布。

下面的句子对吗？（明确 λ 和 A 之间的关系）：

a[i][j] = P(状态 q[i] at t | state q[j] at t+1) =P(state q[i] at t | state q[j] at t+1, λ )

请帮忙！

Answer 1

P(state q[i] at t | state q[j] at t+1) =P(state q[i] at t | state q[j] at t+1, λ)

这个表达式是

P(state q[i] at t | state q[j] at t+1) =P(state q[i] at t | state q[j] at t+1, λ) / P(λ)