Questions tagged [distribution]

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what kind of distribution is followed by word and sentence vectors generated by TFIDF ,word2vec,glove,bert,flair?

what kind of distribution is followed by word or sentence embedding vectors generated by TFID or pretrained models like word2vec,glove,bert,flair ? is it continuous or discrete or any other ...
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What is the distribution of the goal feature in this dataset

https://www.kaggle.com/kemical/kickstarter-projects I was checking the distribution of the "goal" feature in this 2016 KickStarter data set. I figure goal would be more normally distributed ...
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A good machine learning approach for distribution of a whole?

So I had done with different classification, regression and clustering approaches for predictions of values etc. I was wondering if there is a machine learning approach for distribution of a whole ...
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27 views

Naive Bayes vs Full Bayes model classifiers

I have a hard time to understand when Naive Bayes works better than Full Bayes. In general, i know that naive bayes does the assumption that features are independent given the class. However, if ...
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Machine learning. Input: set of distributions, Output: distribution

I have a set of features where typical machine learning techniques do not work very good. All features have very different distributions, some heteroscedasticity is also present. The distribution ...
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Sample size calculation for AB testing

I have sales data for 500 stores and lets say I want to run an AB test on a sample of test and control stores with the objective of getting statistically significant increase in sales(lift). My ...
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How to estimate tail distribution for computing Conditional Value at Risk in python?

How to estimate parameteres of generalized pareto distribution in python? 🙏 I solve the task of computing Value at Risk and Conditional Value at Risk. ...
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1answer
25 views

Understand how to simulate a statistics [closed]

This solution describes how to simulate statistics to find a confidence interval. A journalist called 1000 people in town to ask who will they be voting for out of candidates A and B. The observed ...
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1answer
16 views

How to draw a sample from data set with respect to a given categorical or numerical variable based on given freely chosen distribution? (Python)

Say I have a data set for some past period. Now new data appears and for a given variable in the data and we find that the distributions have shifted (for example with "age" it would be that suddenly ...
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Setting whiskers to min/max of data set - valid or not?

Suppose there exist several measurements of experiments under different condidtions. Therefore, the shape of probability distributions of the measurement data will differ. Now I need to compare those ...
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9 views

Modeling dependence among outputs in neural network

If I am modeling multiple outputs in a neural network, does modeling them all jointly in 1 neural network capture conditional dependencies? My understanding is that each output component would share ...
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How to distinguish Multivariate Bernoulli Distribution from Binomial Distribution,Multinoulli distribution,Multinomial distribution?

Ok While studying naive Bayes I came across this question and from the accepted answer I reach to this blog. While reading this blog I got a clear idea of how Bernoulli distribution turns to (...
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How to calculate two dimensional conditional probabilities?

I generated random data using Pareto distribution. I calculated with that data the conditional kernel estimator (Gaussian Kernel Density): ...
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The data set missing values and percentage of data that would remain unaffected

Can not understand question and answer to it given on DS questions site (see link below): Q3. You are given a data set. The data set has missing values which spread along 1 standard deviation from ...
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Professionals appear to interpret sample correlation (e.g. Karl Pearson) as if it represents linear correlation. Is it the correct interpretation? [closed]

I am stressed following the wrong interpretation. What is the correct way of understanding a correlation coefficient.
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1answer
49 views

Change distribution of a vector

I have the following vector ...
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10 views

Given a dataset how do i determine the number of modes in the underlying distribution?

given some data is there a technique determine the number of modes (Unimodal distribution, bimodal distribution etc.) without plotting and visualization?
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Compare the variances of two categorical distributions in a repeated measure design

I ran two model-building procedures with different parameters on the same sample and obtained the selection of my optimized hyperparameter for each outer fold (each of the analyses had 100 outer folds ...
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Text data distributions comparison

I would like to know what is the best method to compare the different text data distributions. I am working on text classification. I built a model using the old dataset. Now, I would like to know, ...
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1answer
26 views

How is the E(X) of a Poisson distribution lambda? [closed]

I was recently learning about the Poisson distribution, and was very perplexed about the E(X) equaling lambda. Like how did lambda even come into the picture here, isn't it a symbol of wavelength? ...
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3answers
283 views

Is there a cost associated with converting Koalas dataframe to Spark dataframe?

I know that pandas works "under the hood" with numpy arrays stored in dictionaries. In contrast, Koalas works with the underlying Spark framework. Does that mean that there is no extra cost associated ...
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1answer
22 views

How to resample one dataset to conform to the distribution of another dataset?

I have two datasets with 20 features, but with different feature distributions (DS_A and DS_B). How can I sample the DS_A to make its distribution similar to DS_B, with respect to multiple features?? ...
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1answer
30 views

How to interpret axis of Histogram and distribution curve?

After doing statistical analysis of data I got the below figures: The data contains a line length in meters which is represented with Line(m). The purpose here is to confirm the distribution behavior ...
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1answer
43 views

difference btw data distribution and frquency distribution

I have a dataset with 'n' features and corresponding labels(binary in nature). How can I calculate the data distribution and frequency distribution of the same? What is the difference btw the two?
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23 views

Calculate marginal probability distributions of a dataset

I have a dataset with 'n' features and a label(binary) corresponding each entry. I am using a predicitive model to predict these labels using those 'n' features. Now, I wish to know the marginal ...
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115 views

Confidence value for face recognition

In the context of face recognition I have the following histogram: blue bins count the comparison distances for "self matches" (comparing two images of the same person). Orange bins count the ...
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1answer
28 views

Synthetic time series generation according to some distribution

I'm trying to develop a change detection model that uses sliding windows. Given a time series with some features I've a sliding widows that analyses that time period and compares with a successive ...
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SQL Oracle - Excel's BETAINV function (Inverse cumulative function of a beta distribution) in SQL Oracle

Is there a function equal to Excel's BETAINV(probability,alpha,beta,[A],[B]) in Oracle SQL Developer? Or a similar one which I could use to return the inverse cumulative distribution function of a ...
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46 views

Select the right distribution

I have a dataset like: ...
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1answer
19 views

Testing for gender composition between groups

I did kmeans with k=4 and I would like to find out if there are any differences in the composition of gender between the 4 clusters. Do I use Fisher's Exact Test of Independence? Is there any ...
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1answer
22 views

evaluation metrics for multiple values per session

I have an application that executes my foo() function several times for each user session. There are 2 alternate algorithms that i can implement as "foo" function and my goal is to evaluate them based ...
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3answers
142 views

Regression: How to deal with positive skewness in continuous target variable

I'm working on a regression problem. My aim is to "learn" the distribution of a continuous target $y$ as good as possible to make predictions. My model looks like: $$y_i=\beta X_i + u_i.$$ $y$ is ...
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1answer
34 views

Univariate Outlier Detection

Let's say I have a dataset with the following format: customerid product orders_in_last7days orders_in_last6days orders_in_last5days orders_in_last4days orders_in_last3days orders_in_last2days ...
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How to estimate the marginal distribution of a class with respect to one predictor in a classification task?

I have a dataset with a binary dependent variable $y \in \{0,1\}$ and a set of predictors $x1,x2,..,t$. Here, $t$ is the time in minutes (in 24 hrs, that is $t \in (0,1440)$). I want to estimate the ...
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1answer
22 views

Generating random numbers from best probability distributions?

I have done some statistical distributions on real-world data. The distribution fitting gives me the below results (lognormal fits the best on data based on chi-squared test): ...
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How to do normalize distribution technique on a simple matrix?

This is just a practice about normal distribution in MATLAB and not a real project. I created a simple matrix and want to test normal distribution on it, it's ...
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1answer
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How to set and check normal distribution on a data set?

Sorry if my question is simple, I have a data set with two class and want to check and set normal distribution on it(if it was necessary, in MATLAB). But the question is that I should use it on every ...
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1answer
32 views

How does $\chi^2$ feature selection work?

I can't find the information how $\chi^2$ are used to select numerical features for a model. ...
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1answer
46 views

The distribution of dataset train and test are the differents, how to fix this?

I am new in data science and like some help to understand my problem. For instance, I have two signals non-stationary for the same condition (figure 1). I acquisition them at different times(in the ...
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1answer
26 views

Can continuous dataset have negative values? [closed]

As in the description, I want to choose continuos dataset with temperatures and the minimun value is -40 and maximum is 51. Is that OK? Can we have negative values in continuous distribution?
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Use of PYMC distribution.dist()

In pymc3 documentation, it specifies that the .dist() member for distribution allows the distribution to be used without a model for sampling and use of the logp functions e.g. ...
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2answers
505 views

When to use t-distribution instead of normal distribution?

According to the Student's t-distribution wiki article the t-distribution is used instead of the Normal distribution "when estimating the mean of a normally distributed population in situations where ...
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Using normal distribution data with high amplitude

I am using some data from a csv file to train a model which detects credit card fraud. The data set is from Kaggle and has 284,xxx samples each with 30 features. After some visualization in Python, ...
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1answer
201 views

Why do train, test, validation datasets need to have the same distribution?

I've found a lot of martial on how to deal with differently distributed train/test/validation data sets, however I'm struggling to find out why they they need to have the same distribution. Can ...
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How to avoid dataset shift or covariate shift? [duplicate]

I wonder If there can occur a dataset shift or covariate shift through the following train_test_split-method? ...
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the metric that can be used to characterize and compare different histogram

There is a set of different data set, each of which corresponds to a histogram. Are there any metrics that can be used to characterize the shape of each histogram, and further compare different ...
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1answer
47 views

Co-joining multi-peak histograms

I am analysing a bunch of data files which represent responsiveness of cells to addition of a drug. If a drug is not added, cell responds normally, if it is added, it shows abnormal patterns: , . We ...
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How to estimate claims for warranty analytics where continuous improvement reduces warranty claims?

I have a situation where a company who has warranty claims on its product and they want to know that is it possible for them to extend that. Now the case is that they do improvement on the existing ...
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1answer
26 views

Predicted and true values distributions comparison

Is this alarming when a distribution of predicted values differs from a distribution of true values? I use xgbregressor and get the following plots Usage of boxcox doesn't improve the case. My data ...
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Normalization of Distribution of numeric features and target

Here, I am talking about the Normalization of Distribution of Features/Target, not normalization/scaling of them. I've been seeing Notebooks which normalize some features and the target variable, ...