Questions tagged [shape]

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Understanding the output layer formation of an LSTM unit in Keras

I'm struggling to get my head around how the output shape of an LSTM layer formed. How is the output unit value physically implemented in the layer? For example, if I have an input shape of (128 x 6) ...
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23 views

multivariate statistical test for object shape profiles

I not a mathematician or a statistician and I am looking for a multivariate statistical test that will allow me to differentiate between images based on their shape profiles (https://media....
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1answer
22 views

What does a shift-in-location-only entail?

A number of questions on this site describe the location shift assumption for interpreting the Mann-Whitney U as a test of the equality of medians (e.g. here, here, and here). I'm trying to figure out ...
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1answer
58 views

What is the shape of the Benini distribution?

The Benini distribution is a continuous univariate distribution that is used in actuarial applications. For all $x \geqslant \sigma$ it has density function: $$\text{Benini}(x| \alpha, \beta, \sigma)...
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37 views

Correlation in the shape of two lines [closed]

The two groups of lines below each have a correlation close to 1 but they have very different shapes. Let’s say each represents the changes in price of gold and silver at different times - there is ...
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31 views

survival model with weibull sojourn time in R

I aims to develop multi state survival model in R with the transition time between any two states follows Weibull distribution. However, based on the documentation and as shown in the picture below, I ...
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1answer
29 views

Is it possible to calculate the scale param θ for the Gamma distribution, given shape param K and a quantile value Q?

Stats-ophils, I am running into a problem, in which I'd like to generate a Gamma distribution (in Julia) and I know the value of the quantile Q(0.9) = 130 as well as the shape parameter k=2. Is it ...
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28 views

How can Pareto(alpha = 5, x_min = 2) be heavy-tailed where alpha is the shape parameter or the tail index?

Point 1 : It's known that, usually, when the tail-index (alpha) is between 0 and 2, of a certain data set, the distribution is considered as heavy-tailed. Point 2 : It's know that Pareto ...
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110 views

Probability distribution over shapes (or: How to parameterize arbitrary polygons)

Has there been work on modeling variations of a 2D shape? E.g., say you want a distribution over 5-sided polygons, or over ellipses, or curved shapes? For simple shapes, like circles, rectangles, ...
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1answer
141 views

Satellite data pre-processing for Keras CNNs [closed]

I’m looking at satellite data and want to do object detection using CNNs in Keras. I’m currently pre-processing the data (turning them into tensors) that I’ve obtained which include the original ...
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1answer
102 views

Shape of a tensor [closed]

Suppose I have a variable that looks like this [[[1., 2., 3.]], [[7., 8., 9.]]] I have read this is a rank 3 tensor with shape ...
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171 views

Statistical test for data where groups have non-normal distributions with varying distribution shapes

I have between-subject design with 3 different groups where I capture interval data (on scale 1-4 where equal spacing amongst scores can be assumed). The data in groups is not normally distributed ...
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1answer
21k views

Are 1-dimensional numpy arrays equivalent to vectors? [closed]

I'm new to both linear algebra and numpy, so please bear with me. I'm taking a course on linear regression, where I learned that we can express our hypothesis as $\theta^TX$ where $\theta$ is our ...
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1answer
166 views

R dataframe: Multiple repeated measured variables of different time lengths

Not sure if this is the best place for this type of question, but I'll just try! I have a semi-large dataset with multiple measures from one study I ran. Some of them are repeated measures over ...
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3answers
35k views

Understanding input_shape parameter in LSTM with Keras

I'm trying to use the example described in the Keras documentation named "Stacked LSTM for sequence classification" (see code below) and can't figure out the ...
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0answers
96 views

How to compare shape of gamma distributions to detect population change

Sorry if this question is poorly composed due to lack of stats knowledge. Any advice to point me in the right direction would be greatly appreciated: I'm hoping to detect if a dataset originated from ...
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2answers
364 views

What is the shape of the distribution when the sample mean > the population mean? [closed]

What is the shape of the distribution when the sample mean is greater than the population mean?
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1answer
243 views

Is Tensorflow shape just for convenience?

It's pretty neat that Tensorflow allows you to define and do math on arbitrary tensors, but for supervised learning applications, is there any reason you would want to define your inputs and outputs ...
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2answers
2k views

What is the name for the distribution shape of a histogram with this kind of curvature?

I have a histogram of points with a dip in the center of the bell, seeming to create two bells, or two clusters. What is the name for this kind of shaped distribution? This curve should be normal but ...
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0answers
75 views

Testing data for Same Shape

I want to run a Mann-Whitney test on 2 arbitrary sets of data but I read that one of the assumptions of the Mann-Whitney test is that the data is the same shape. How can I test if the 2 sets of data ...
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214 views

L-Kurtosis calculation

I am doing statistical analysis on some signal data and after some reading was thinking that L-kurtosis would be a good numerical value to use in differentiating delta trains and sine waves with ...
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1answer
307 views

Cluster analysis without knowing the structure of the data set

I’m working on a task regarding cluster analysis for about half a year now, but since the fields of pattern recognition and cluster analysis are quite complex ones, I would call myself a beginner in ...
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0answers
24 views

shape of distribution and indepencence

I have a sample of observation on which normality tests (Anderson Darling, Shapiro - Wilks, KS,...) would accept the assumption of normality. Nevertheless I know that there is a certain time - ...
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1answer
1k views

Does skewness predicts variance?

(with apologizes to this question). Consider two distributions $G$, $F$ both uni-modal and absolutely continuous, square integrable and satisfying: $$F<_c G$$ this means that the standardized ...