Questions tagged [distribution]

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4
votes
3answers
915 views

How to predict whether or not a customer will renew

I have a dataset of customer contracts that specify a start date and if applicable an end date. Each month a customer is up for renewal. Below is an example of how the data is organized in excel: <...
0
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1answer
588 views

KL divergence in VAE

If I understand correctly KL-divergence is relative entropy of two distributions. To calculate KL divergence of two distributions, you would need two vectors of random variables. What I do not ...
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0answers
74 views

How to check the similarity between two transition matrixes

I have two transition matrixes in which the probabilities for the transition between each from state to each to states are ...
4
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2answers
139 views

Standard Deviation for Z-scores

I have a set of data that I'm trying to generate a z-score with. I know I need standard deviation as part of my calculations. I am using the formula of: $\sigma = \sqrt{p * n * (1-p)}$ My data is ...
1
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1answer
123 views

Generating a set of different scenarios based on some initial observations

I have a in my hands 3 different time series which model 3 different scenarios (base, downside, upside). Every of this time-series depends on a set of 11 different attributes, which take values for ...
0
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2answers
150 views

Maximum likelihood estimation vs calculating distribution parameters "manually"

I'm sorry for asking probably elementary question, but I cannot understand how estimating probability distribution parameters using maximum likelihood estimation method differs from calculating these ...
1
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1answer
7k views

What Does the Normalization Factor Mean in the AdaBoost Algorithm?

I am studying the AdaBoost algorithm. The update rule for a weak hypothesis is: $Dt+1(i) = Dt(i)exp(−αtyiht(xi))/zt $ where $zt$ is a normalization factor chosen so that $Dt+1$ is a distribution. ...
1
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1answer
29 views

Calculate whether datapoints are part of a larger distribution

I have some normally distributed variables (~800) and some variables that are in some way special (~30). I need to find out whether the special ones can be considered normal members of the ...
1
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1answer
106 views

How often do we see normally distributed data

I am having difficulty in exactly understanding several statistical tests, such as the t-test and ANOVA test. These tests require that the data we use be normally distributed. However, whilst ...
1
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1answer
24 views

How to get maintenance interval from maintenance outcomes?

I have a machine, which needs maintenance. Every time the technician visits the machine, there are four possible outcomes: a) The machine is broken, b) The machine is still running, but it's high ...
0
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2answers
108 views

Binomial family in logistic regression

I was asked in an interview why do we use the binomial distribution in logistic regression and how is it related to the class that we are predicting? Could anyone explain, without any mathematical ...
1
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0answers
76 views

On Noise Contrastive Estimation, replace noise distribution with difficult examples

In noise contrastive estimation, we learn a binary classifier to classify noise from the true distribution. The problem I'm trying to solve has discrete input variables yet it's intractable to sum ...
2
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0answers
176 views

Wasserstein distance between Gaussian and the empirical distribution

Wasserstein distance between two gaussians has a closed form solution. Does the same hold for the distance between a Gaussian with a fixed variance(say 1) and the empirical data distribution? ...
0
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1answer
97 views

Supervised learning for variable length feature-less data

I have data in following form: ...
2
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1answer
168 views

Does classification of a balanced data-set lead to any problem?

So I came across a bioinformatics paper, where I found a line which says: One potential problem with using a training set with equal numbers of positive and negative examples in cross-validation ...
2
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2answers
383 views

can I say that my variable is "approximately" normally distributed?

I am studying a variable on 50000 observations, I have applied a cox box transformation to make it normal, but even with transformation the kolmogorov smirnof and the anderson darling test tells that ...
0
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1answer
19 views

Feature has a pattern in relation to class but does not enhance classifier to predict class

I have a feature x that when I plot it again my class variable y it shows some sort of pattern, i.e. it is obvious that x has a relation with y, but when I add the x to my logistic model it reduce the ...
1
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2answers
49 views

Algorithms that would benefit from variable transformations?

1- Which algorithms would benefit from data that has been transformed, so that distributions of continuous variables resemble that of a normal distribution ? 2- What would be the benefits of ...
1
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1answer
22 views

Number of events estimation

I have three different histograms (Impact parameter distributions) corresponding to three groups of the same particle with different properties. However, the three distribution have more or less the ...
5
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3answers
915 views

Boxplots or violinplots?

This is quite a general question, perhaps somewhat opinion-based. In most papers people use boxplots to visualize a certain distribution, yet violinplots are able to give more information. ...
0
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1answer
54 views

Constructing graph of crypto financial instruments 2016-2017

Set of financial instruments represent the set of vertices of the graph. For any pair of vertices $i$ and $j$, an edge connecting them is added to the graph if the corresponding correlation ...
2
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1answer
193 views

Stratified Sampling Variable Choice

I am trying to do stratified sampling in R to sample from my data and one of the parameters is group, which takes variable names to sample from keeping same initial distribution of the data set. Is ...
4
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2answers
4k views

Working with Data which is not Normal/Gaussian

What happens if my data/feature is not normal? Can I still use machine learning algorithms to utilize such data for predictions? I noticed in many data sciences courses, there is always a strong ...
0
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2answers
167 views

Detecting Different Distributions in data [closed]

Supposing I have a dataset that I assume that have instances generated by two different distributions, is it possible to separate these instances based on the underlying generating distribution? ...
2
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2answers
326 views

Machine learning learn to work well on future data distribution?

This is based on my limited machine learning scope and experience, so correct me if I'm wrong. Many of the currently used machine learning models (SVMs, boosted trees, DNNs) work under the assumption ...
7
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3answers
1k views

Which outlier detection can detect these outliers?

I have a vector and want to detect outliers in it. The following figure shows the distribution of the vector. Red points are outliers. Blue points are normal points. Yellow points are also normal. ...
0
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1answer
45 views

Estimate the normal distribution of the mean of a normal distribution given a set of samples?

Let's say there is a distribution, call it D, for which I don't know details (i.e. mean and variance) but can assume that it's a normal distribution. I now have N samples from D. I cannot take more ...
1
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0answers
406 views

Maximum likelihood Estimation of three-parameter log-logistic distribution in R

I am trying to estimate parameters from a three-parameter Log-logistic distribution in R. I have a code as follows: ...
1
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2answers
2k views

Does SQL Server support the Poisson distribution?

I am trying to do some work that is primarily based in SQL Server. I cannot seem to find a native function to SQL that supports the Poisson distribution. Has anyone had success with applying Poisson ...
-1
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1answer
244 views

Gamma random variable , need to find the approximate 90th percentile of X? [closed]

A colleague defines a random variable $X = \frac{Z}{Y^2}$, where $Z$ is a known normal random variable, $Y$ is a known gamma random variable, and $Z$ and $Y$ are independent of each other. You are ...
1
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0answers
753 views

Generalization error for simple linear regression

Lets say we have a training data and we have estimated a fit for a model of square ft of living area vs price of houses. Suppose we know the probability distribution of sq ft and for a fixed sq ft we ...
2
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1answer
756 views

Methods / Algorithms for rank scales based on cumulative scoring

Say you have an organization that requires employees to participate in a Q&A site similar to StackOverflow - questions and answers are voted upon, selected answers get extra points, certain ...
6
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2answers
9k views

Plotting different values in pandas histogram with different colors

I am working on a dataset. The dataset consists of 16 different features each feature having values belonging to the set (0, 1, 2). In order to check the distribution of values in each column, I used <...
-1
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3answers
1k views

How to check if a data is in gaussian distribution in R or excel?

I know about the fitdist() function from the fitdistrplus package in R, however, I am not able to use it to predict a gaussian ...
4
votes
3answers
13k views

Transform a skewed distribution into a Gaussian distribution

I have a skewed distribution that looks like this: How can I transform it to a Gaussian distribution? The values represent ranks, so modifying the values does not cause information loss as long as ...
5
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1answer
2k views

How to estimate the mutual information numerically?

Suppose I have a sample {$z_i$}$_{i\in[0,N]}$ = {($x_i,y_i$)}$_{i\in[0,N]}$ which commes from a probability distribution $p_z(z)$. How can I use it to estimate the mutual information between X and Y ? ...
3
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1answer
275 views

Shifted feature distribution across different datasets

I am trying to validate a classifier using two different training and testing datasets. The feature I am considering is a feature constructed doing the fold-change between two original features, i.e. ...

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