Slow updating on l d

Posted by / 02-Jul-2018 05:24

And despite what my high school English teachers might think, you can't mix too many similes, when trying to describe excruciating slowness. Even with the screen updating turned off, the code barely crawled along.The sample file had code that ran an Advanced Filter in Excel 2007. It took almost 3 minutes to extract 1500 rows -- maybe a millisecond faster than it ran with screen updating turned on. In the next round of solution guessing, I got rid of the few formulas in the worksheet and criteria range.However, it is not the only updating rule that might be considered rational.Ian Hacking noted that traditional "Dutch book" arguments did not specify Bayesian updating: they left open the possibility that non-Bayesian updating rules could avoid Dutch books.Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law.In the philosophy of decision theory, Bayesian inference is closely related to subjective probability, often called "Bayesian probability". In the table, the values 2, 3, 6 and 9 give the relative weights of each corresponding condition and case.When I tried to create a sample file to demonstrate this problem, things got even stranger.I created a table with a comment in the heading, and ran the code, expecting it to be slow. Then I added a shape to the worksheet, and assigned a macro, to make it easier to run the code. I deleted the shape, and the code was still slow, and I had to delete the comment to speed it up again.

In fact, if the prior distribution is a conjugate prior, and hence the prior and posterior distributions come from the same family, it can easily be seen that both prior and posterior predictive distributions also come from the same family of compound distributions.This has the disadvantage that it does not account for any uncertainty in the value of the parameter, and hence will underestimate the variance of the predictive distribution.(In some instances, frequentist statistics can work around this problem.Salt could lose its savour." Indeed, there are non-Bayesian updating rules that also avoid Dutch books (as discussed in the literature on "probability kinematics") following the publication of Richard C.Jeffrey's rule, which applies Bayes' rule to the case where the evidence itself is assigned a probability.

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