If we have a uniform prior probability distribution across all ranges of $ \theta $, does maximum a posteriori become maximum likelihood estimation?
38201
How does a uniform prior lead to the same estimates from maximum likelihood and mode of posterior?
63222
Expectation of the maximum of gaussian random variables
81833
Question about deriving posterior distribution from normal prior and likelihood
146894
Maximum likelihood estimator of $\theta$ from a sample
78524
UMP of a Beta($\theta,1$) distribution
76561
Domain of ProbabilityDistributions
61881
Maximum likelihood function for mixed type distribution
122584
Converting a Uniform Distribution to a Normal Distribution
96722
Finding UMVUE of $\theta$ when the underlying distribution is exponential distribution
80868
maximum of two uniform distributions
85983
Normalizing constant in Bayes theorem
79099
Is Maximum Likelihood Estimation (MLE) a parametric approach?
70695
When approximating a posterior using MCMC, why don't we save the posterior probabilities but use the parameter value frequencies afterwards?
46026
How bias arises in using maximum likelihood to determine the variance of a Gaussian?
17893
How do I show that the mean of the posterior density minimizes this squared error loss function?
69737
Operator Theoretic Perspectives on Bayesian Inference
145730
Idea and intuition behind quasi maximum likelihood estimation (QMLE)