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Nature's Numbers

Mr Bayes plays silly blighters. I've just noticed that a fellow blogger is having a bit of trouble. Getting her head round Bayesian analysis. Actually, it seems she's got the hang of it, but it occurs to me that some background on why Bayesian analysis works might be useful. Being a maths geek and all-round nosey person, I am of course going to get involved with attempting to explain the situation. The way things are. The result I'm going to discuss here is called Bayes' Theorem. P(A B) = P(AnB)/P(B).

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Nature's Numbers | naturesnumbers.blogspot.com Reviews
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Mr Bayes plays silly blighters. I've just noticed that a fellow blogger is having a bit of trouble. Getting her head round Bayesian analysis. Actually, it seems she's got the hang of it, but it occurs to me that some background on why Bayesian analysis works might be useful. Being a maths geek and all-round nosey person, I am of course going to get involved with attempting to explain the situation. The way things are. The result I'm going to discuss here is called Bayes' Theorem. P(A B) = P(AnB)/P(B).
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1 nature's numbers
2 statistics
3 probability p # black
4 will cause x
5 36 comments
6 this isn't strictly
7 problem solved
8 books/resources
9 posts
10 none so far
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Nature's Numbers | naturesnumbers.blogspot.com Reviews

https://naturesnumbers.blogspot.com

Mr Bayes plays silly blighters. I've just noticed that a fellow blogger is having a bit of trouble. Getting her head round Bayesian analysis. Actually, it seems she's got the hang of it, but it occurs to me that some background on why Bayesian analysis works might be useful. Being a maths geek and all-round nosey person, I am of course going to get involved with attempting to explain the situation. The way things are. The result I'm going to discuss here is called Bayes' Theorem. P(A B) = P(AnB)/P(B).

INTERNAL PAGES

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1

Nature's Numbers: A cry for help

http://naturesnumbers.blogspot.com/2006/06/cry-for-help.html

A cry for help. Could someone help me here? I'm planning to write a program to model drift-induced speciation. However, to do this I need two statistics that I don't have. Again, my inclination would be to model this as an exponential curve, with the parameter being something that a Real Scientist would determine through experiment. It's presumably affected by genome compactness, though, so I can set it to pretty much any value I want for experimental purposes. Do you have any reason to justify Exponenti...

2

Nature's Numbers: Personal update

http://naturesnumbers.blogspot.com/2006/07/personal-update.html

Sadly I didn't get into the MPhil program. This was precisely what I'd expected, so it's not exactly a shock to the system. I now have one major goal: to make them wish they had. Assistance in achieving this goal is greatly appreciated. The small number of people who have found this blog have already been incredibly helpful. Advice on any of the following is gratefully received:. 1) Suggestions for material to look at, for example:. 2) critical analysis of posts[1], in particular:. And I'll be satisfied.

3

Nature's Numbers: The merits of models

http://naturesnumbers.blogspot.com/2006/06/merits-of-models.html

The merits of models. I've already written a couple of posts as to the relative merits of various models. For example, I talked about the assumptions of the Hardy-Weinberg model. And what happens if they're broken. I also talked briefly about how Dawg. Models genetic mutation more realistically than most other programs. The specific model that I've been looking at most lately is the neutral model of genetic drift. As such, it seems useful to have a look at some of the major problems with it. Just think a...

4

Nature's Numbers: Field page: Functional Genomics

http://naturesnumbers.blogspot.com/2006/06/field-page-functional-genomics.html

Field page: Functional Genomics. Functional Genomics is the down-and-dirty field of the CB family. It involves the experimental analysis of DNA molecules, in terms of both sequence and function. As with most areas of biotech, Functional Genomics has taken off in leaps and bounds recently. What can we experimentally determine about these DNA molecules? Posted by Coalescent at 6/23/2006 02:56:00 am. Links to this post:. Recently-graduated maths student, now fascinated by computational biology.

5

Nature's Numbers: Syllabus

http://naturesnumbers.blogspot.com/2006/06/syllabus.html

As I mentioned in the last post, my course of learning will be mostly guided by the course. I was applying to. They cover the following major areas of CB:. The discerning reader may note that Computational Neuroscience has apparently nothing to do with the other subjects, and the relevance of Systems Biology is somewhat tenuous. That's the great thing about CB - it's got bits in from all over :). What problem the field is intended to address. A brief description of how the field accomplishes this. Some p...

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Mr Bayes plays silly blighters. I've just noticed that a fellow blogger is having a bit of trouble. Getting her head round Bayesian analysis. Actually, it seems she's got the hang of it, but it occurs to me that some background on why Bayesian analysis works might be useful. Being a maths geek and all-round nosey person, I am of course going to get involved with attempting to explain the situation. The way things are. The result I'm going to discuss here is called Bayes' Theorem. P(A B) = P(AnB)/P(B).

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Select a type of magnitude to see the data. Produced by students at Siena College. Loudonville, NY, and coordinated by William Kennerly. Welcome to NaturesNumbers.com. We've been quantifying the universe since 2009. If you have ever heard a piece of data and wondered "What does that really mean? Then this site is for you. Just pick one of the data types from the right-hand column to get started. NaturesNumbers.com is produced by students at Siena College, Loudonville, NY.

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