Not exact matches
In fact, studies of informal surveys of principals (see «
When Principals Rate Teachers,» research, Spring 2006) and teacher ratings by mentor teachers find that these more -
subjective evaluation
methods have similar power to detect differences in teacher effectiveness as the TES ratings.
However, as compared to using a moving average to decide the market context
when trading candlesticks, the Sakata
methods are more
subjective and need discretion to identify the chart formations (like the triple tops / bottoms) that work.
But your statement: «Given that, it's easy to see why a
subjective Bayesian
method will usually NOT produce perfect probability matching
when averaging over a distribution for true parameter values that is different from the prior it uses» reveals a major problem.