#2,478 in Science & math books
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Reddit mentions of Thinking Statistically
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Reddit mentions: 1
We found 1 Reddit mentions of Thinking Statistically. Here are the top ones.
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Release date | October 2011 |
I routinely construct predictive (Bayesian) models for a living (well, as part of my research work), and prior beliefs do get taken into account as part of the modelling process, often encoded as parameters of the model or in form of the choice of prior distributions. In fact, the priors greatly influence the resulting predictive distribution inferred from the data.
The first lesson we learn in modelling is to ask, "what are your modelling assumptions?", and depending on these, it is easy enough to make predictions that will say anything we want to say, like e.g. just throw the historical price data into an exponential model and you end up with $10k per million doges or BTC. Here the math all checks out but is that useful predictions? Not sure. In fact, model selection and over/under-fitting the training data are the big challenges in the field of 'data science' (such buzzword, wow).
So, the following are the assumptions that you seem to make in the posts above, leading to the conclusions in the main post:
I guess I'm saying, granted we are not constructing a predictive model here (in the mathematical sense) in this post, but we are implicitly doing that in our mind when we are guessing the chances of BTC/doge going to the moon -- and it pays to be aware of how the modelling assumption and our prior belief will influence the prediction outcome. Here's a good book for the layshibes interested in this subject:
http://www.amazon.co.uk/Thinking-Statistically-Uri-Bram-ebook/dp/B005YOL2Z4