For a posterior $p(\theta |y)$, if I specify a one-to-one transformation $\phi = g(\theta)$, how can I apply the transformation?
97620
What is an example of a transformation on a posterior distribution such that the MAP estimate will be non-invariant?
47608
Posterior mean if signal is an interval rather than a realization
63952
Disproving: If $(\Gamma\vdash(\phi\,\lor\psi))$, either $(\Gamma\vdash\phi)$ or $(\Gamma\vdash\psi)$ is true
41489
Why $p(y_n|y_{0:n-1})$ is a constant in Kalman filter derivation?
68629
Help me understand Bayesian prior and posterior distributions
36428
Formulas for probabilities in Bayes theorem
20075
Probabilistic method Kraft-McMillan inequality
125848
Intuition behind Probability Integral Transformation
17893
How do I show that the mean of the posterior density minimizes this squared error loss function?
128639
Homoskedasticity Assumption: Var(y|x)=Var(u|x)=constant?
100916
Finding $\mathrm{Cov}(X,Y)$ and $E(X\mid Y=y)$ given the joint density of $(X,Y)$
57344
When does asymptotic normality of the Bayesian posterior (Bernstein-von Mises) fail?
78524
UMP of a Beta($\theta,1$) distribution
81833
Question about deriving posterior distribution from normal prior and likelihood
30912
Having a conjugate prior: Deep property or mathematical accident?
56134
What exactly is the Probability Integral Transform?
81363
How to compute $P(X>Y)$ if $X$ and $Y$ are independent and exponentially distributed