Book cover of Bayesian Statistics for Beginners: a step-by-step approach

Book description

Bayesian statistics is currently undergoing something of a renaissance. At its heart is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. It is an approach that is ideally suited to making initial assessments…

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Why read it?

1 author picked Bayesian Statistics for Beginners as one of their favorite books. Why do they recommend it?

Many quant geeks are familiar with statistics. The dominant school of statistical thought is called "Frequentist" or "Classical."

It focuses on either 1) testing a given hypothesis by determining how likely observed data are on the assumption that the hypothesis is true or 2) constructing intervals for which a certain percentage of them contain the actual value of whatever is being estimated.

A lesser known, although this seems to be changing, school of thought is Bayesian statistics. It focuses on using prior information about some phenomenon in order to revise or update one's beliefs about it.

If you're into stats…

From Michael's list on The best books for quant geeks.

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December on 5C4 by Adam Strassberg,

Magical realism meets the magic of Christmas in this mix of Jewish, New Testament, and Santa stories–all reenacted in an urban psychiatric hospital!

On locked ward 5C4, Josh, a patient with many similarities to Jesus, is hospitalized concurrently with Nick, a patient with many similarities to Santa. The two argue…

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Child of Vanris by Nikki McCormack,

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Almost Home by Howard Means,

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In late April 1865, almost 2,000 newly freed Union prisoners of war are packed onto the steamer Sultana, in poor repair and with a listed capacity of 376 passengers. Among them are four Indiana soldiers…

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