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Given N+1N+1N+1 RVs X0,…,XNX_{0},\ldots,X_{N}X0,…,XN from \mboxMarkov(λ,P)\mbox{Markov}(\lambda,P)\mboxMarkov(λ,P) the likelihood LLL is defined as L=P(X0=x0,…,XN=xN)=λx0px0,x1⋯pxN−1,xNL=P(X_{0}=x_{0},\ldots,X_{N}=x_{N})=\lambda_{x_{0}}p_{x_{0},x_{1}}\cdots p_{x_{N-1},x_{N}}L=P(X0=x0,…,XN=xN)=λx0px0,x1⋯pxN−1,xN
Bayesian Statistics
Log-likelihood
Maximal Likelihood Estimator