If both the likelihood and the prior carry little information, then the posterior will be very uncertain. This is a perfect example where we can see how using a different prior, one which includes some knowledge about the problem, can help. Since nnn is an integer which is likely close to 4, I will use a geometric distribution as prior n∼3+Geom(q)n \sim 3 + \mathrm{Geom}(q)n∼3+Geom(q), with q=0.5q = 0.5q=0.5. In the piece of code below, I use pymc to do this numerically and I find nˉ=4.10\bar n = 4.10nˉ=4.10 with credible interval [4,5][4, 5][4,5]. While the interval is the same, what matters is that the distribution is edging closer to 4 (see the mean), showing our uncertainty is shrinking.
The origin of the blaze that claimed the life of Pierce—a journalist who reported on Minnesota's hockey squad for ten years—remains under scrutiny.
。有道翻译下载对此有专业解读
中東向來具備向外輸出動盪的能力。這場重新爆發並升級的戰爭,將進一步加深本已動盪、暴力與危險的地區及全球局勢的不穩定。,详情可参考Replica Rolex
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