Likelihood - Revision history

Carver: /* Probability Mass Function */

2009-02-03T02:38:41Z

‎Probability Mass Function

2009-01-29T21:07:17Z

‎New Tools for New Things in MATLAB

2009-01-29T21:06:12Z

‎New Tools for New Things in MATLAB

2009-01-29T20:59:00Z

2009-01-29T20:56:49Z

2009-01-29T18:29:10Z

‎Random Numbers in MATLAB

2009-01-29T18:27:33Z

‎Random Numbers in MATLAB

2009-01-29T17:26:13Z

2009-01-29T17:11:36Z

2009-01-29T17:10:21Z

@@ Line 182: / Line 182: @@
   hist(A,600)
-Notice that as the width of the bin gets smaller, the number in each bin (containing the integers 1,2,3,4,5,6) does not change.  Also notice that the height of each bin, divided by the total number of dice, equals
+Notice that as the width of the bin gets smaller, the number in each bin (containing the integers 1,2,3,4,5,6) does not change.  Also notice that the height of each bin, divided by the total number of dice, converges to
 /6

@@ Line 26: / Line 26: @@
   A = randn(100000,2);
   hist3(A,[30,30])
 == Random Numbers in MATLAB ==

@@ Line 3: / Line 3: @@
 == New Tools for New Things in MATLAB ==
-This section concerns the discussion of the homework.  Discussion of the "one point creative bonus problem" will always be followed by the question what next? or what else?  So far I haven't given you many tools for doing things in MATLAB.  Here are some general tools that apply everywhere:
+Discussion of the "one point creative bonus problem" will always be followed by the questions: what next? or what else is possible?  So far, I haven't given you any other tools for doing things in MATLAB.  Here are some general tools for doing new things that apply everywhere:
 If you want to know more about a command (perhaps how to use it differently), use the help command

← Older revision		Revision as of 20:59, 29 January 2009
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−	The ''likelihood'' tells you how probable it is that your model produces your data. We use likelihood to measure the goodness of our model. We need to understand the concept of likelihood, and this brings us into probability theory. We start the likelihood lab by studying random numbers on a computer. But before we get into random numbers, let's discuss the homework from last class. [[Media:HW1Discussion.pdf\|Click here]] for slides of completed homework.	+	The ''likelihood'' tells you how probable it is that your model produces your data. We use likelihood to measure the goodness of our model. We need to understand the concept of likelihood, and this brings us into probability theory. We start the likelihood lab by studying random numbers on a computer. But before we get into random numbers, let's discuss the homework from last class. [[Media:HW1Discussion.pdf\|Click here]] for slides of completed homework. At the end of class, don't forget the [[Survey01\|survey]].

	== New Tools for New Things in MATLAB ==		== New Tools for New Things in MATLAB ==

← Older revision		Revision as of 20:56, 29 January 2009
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−	The ''likelihood'' tells you how probable it is that your model produces your data. ~~This~~ measure ~~tells you how good your~~ model ~~is at matching your experimental data (from a wet-lab or a computer)~~. ~~First we~~ need to understand the concept of likelihood, and this brings us into probability theory. We start the likelihood lab by studying random numbers on a computer. But before we get into ~~likelihood~~, let's discuss the homework from last class. [[Media:HW1Discussion.pdf\|Click here]] for slides of completed homework.	+	The ''likelihood'' tells you how probable it is that your model produces your data. We use likelihood to measure the goodness of our model. We need to understand the concept of likelihood, and this brings us into probability theory. We start the likelihood lab by studying random numbers on a computer. But before we get into random numbers, let's discuss the homework from last class. [[Media:HW1Discussion.pdf\|Click here]] for slides of completed homework.

	== New Tools for New Things in MATLAB ==		== New Tools for New Things in MATLAB ==

@@ Line 102: / Line 102: @@
   rand
-Discussion point relevant to project 3: Consider the randomness from a pseudorandom number generator versus the apparent randomness from the [[Media:Doironghostbursting2002.pdf|ghostbursting paper]].
+Discussion point relevant to project 3: Consider the difference between the randomness of a pseudorandom number generator versus the apparent randomness from a chaotic system such as the one in the [[Media:Doironghostbursting2002.pdf|ghostbursting paper]].
 == Probability ==

← Older revision		Revision as of 17:26, 29 January 2009
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−	The ''likelihood'' tells you how probable it is that your model produces your data. This measure tells you how good your model is at matching your experimental data (from a wet-lab or a computer). First we need to understand the concept of likelihood, and this brings us into probability theory. We start the likelihood lab by studying random numbers on a computer. But before we get into likelihood, let's discuss the homework from last class.	+	The ''likelihood'' tells you how probable it is that your model produces your data. This measure tells you how good your model is at matching your experimental data (from a wet-lab or a computer). First we need to understand the concept of likelihood, and this brings us into probability theory. We start the likelihood lab by studying random numbers on a computer. But before we get into likelihood, let's discuss the homework from last class. [[Media:HW1Discussion.pdf\|Click here]] for slides of completed homework.

	== New Tools for New Things in MATLAB ==		== New Tools for New Things in MATLAB ==

← Older revision		Revision as of 17:11, 29 January 2009
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−	The ''likelihood'' tells you how probable it is that your model produces your data. This measure tells you how good your model is. First we need to understand the concept of likelihood, and this brings us into probability theory. We start the likelihood lab by studying random numbers on a computer. But before we get into likelihood, let's discuss the homework from last class.	+	The ''likelihood'' tells you how probable it is that your model produces your data. This measure tells you how good your model is at matching your experimental data (from a wet-lab or a computer). First we need to understand the concept of likelihood, and this brings us into probability theory. We start the likelihood lab by studying random numbers on a computer. But before we get into likelihood, let's discuss the homework from last class.

	== New Tools for New Things in MATLAB ==		== New Tools for New Things in MATLAB ==

@@ Line 1: / Line 1: @@
-The ''likelihood'' tells you how probable it is that your model produces your data.  This measure tells you how good your model is.  First we need to understand the concept of likelihood, and this brings us into probability theory.  We start by studying random numbers on a computer.
+The ''likelihood'' tells you how probable it is that your model produces your data.  This measure tells you how good your model is.  First we need to understand the concept of likelihood, and this brings us into probability theory.  We start the likelihood lab by studying random numbers on a computer.  But before we get into likelihood, let's discuss the homework from last class.
 == New Tools for New Things in MATLAB ==
 If you want to know more about a command (perhaps how to use it differently), use the help command