The statistics tag has no wiki summary.
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0answers
39 views
Conditional Probabilities as Tensors?
Is it proper to view conditional probabilities, such as the forms:
P(a|c)
P(a|c,d)
P(a, b|c, d)
...and so forth, as being tensors?
If so, does anyone know of a decent introductory text (online ...
3
votes
1answer
20 views
VC dimension of linear separator in 3D
I am confused about the Vapnik-Chervonenkis dimension of a linear separator in 3 dimensions.
In three dimensions, a linear separator would be a plane, and the classification model would be ...
3
votes
2answers
73 views
Predicting energy consumption of households
I have the dataset which you can find here, containing many different characteristics of different houses, including their types of heating, or the number of adults and children living in the house. ...
1
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1answer
45 views
Null Hypothesis in Analysis and Testing
I have my end of year exams next Thursday. I'm generally doing fine but I am having some major issues with this strand of my course, this has to be the biggest issue I have. So, here is the question ...
2
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0answers
21 views
Differences between Fuzzy C-Means and EM
When clustering a set of data points, what exactly are the differences between Fuzzy C-Means (aka Soft K-Means) and Expectation Maximization?
In slide 30 and 32 of this lecture I found, it says that ...
6
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1answer
236 views
Applying Expectation Maximization to coin toss examples
I've been self-studying the Expectation Maximization lately, and grabbed myself some simple examples in the process:
From here: There are three coins $c_0$, $c_1$ and $c_2$ with $p_0$, $p_1$ and ...
1
vote
1answer
46 views
Maximum variance and useful information of dataset
I am reading through PCA and it says that the maximum variance principal component has most of the information. Can we apply that to any data set? If a data set has n attributes and most of the ...
2
votes
0answers
21 views
Statistical anomaly detection in time series
I'm looking for some algorithms that detect statistical anomaly in time series.
For example, Google Trend automatically detects peaks of a specific search query in time, and associates those peaks ...
1
vote
1answer
49 views
Streaming Median
I am looking for an efficient algorithm to find streaming data median. Median is described as the numerical value separating the higher half of a sample, a population, or a probability distribution, ...
5
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1answer
80 views
Reconstructing a data table from cross-tabulation frequencies
Say there is a data table $D$ that we cannot see, with $M$ columns. We are given exact cross-tabulation frequencies for all ${M \choose 2}$ pairs of columns, that is how often each combination of two ...
0
votes
3answers
24 views
Heuristically determine a value f such that a probability d/f approaches 1/2
We have a set X of N elements. We want to get a new set X' having a size M < N.
...
6
votes
1answer
314 views
Smoothing in Naive Bayes model
A Naive Bayes predictor makes its predictions using this formula:
$$P(Y=y|X=x) = \alpha P(Y=y)\prod_i P(X_i=x_i|Y=y)$$
where $\alpha$ is a normalizing factor. This requires estimating the parameters ...
5
votes
2answers
820 views
How are statistics being applied in computer science to evaluate accuracy in research claims?
This is my first post here. I am currently an undergraduate student with exposure to software engineer research and thought that this question would be appropriate here instead of stack overflow or ...
5
votes
1answer
102 views
What Is The Complexity of Implementing a Particle Filter?
In a video discussing the merits of particle filters for localization, it was implied that there is some ambiguity about the complexity cost of particle filter implementations. Is this correct? ...
