# Tagged Questions

The normal, or Gaussian, distribution has a density function that is a symmetrical bell-shaped curve. It is often used as a reference against which other distributions are compared.

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### Significant difference between 2D spatial normal distributions

My problem is as follows: I drop 40 equal balls at once from a certain point, a few meters over the floor. The balls roll, and comes to a rest. Using computer vision, I calculate the center of mass in ...
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### Standardizing costs for comparison purposes

I have created 3 staffing models - only 2 contain the same parameters. I have determined the costs for implementing all three models. I need to compare the cost of each model to the cost of the ...
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### Distribution of norm of random matrix

I am curious to know whether central-limit theorem like considerations hold true for special functions like the norm of a matrix. Specifically, I'm interested in the Spectral norm of a matrix ...
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### How to recover the underlying observations from the noisy ones using gaussian processes

I have some simulated experiments where I generate some samples with an exponential correlation function. I am assuming a spatial grid whose variables form a multivariate gaussian distribution with an ...
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### Confusion related to Gaussian Markov Random field

I was reading this paper related to Gaussian Markov Random field. I didn't get how they derived this equation from the standard multivariate gaussian distribution equation The multivariate gaussian ...
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### Credible interval for Bayesian posterior of variance and mean, and posterior predictive of normal

I am trying to do a "round trip" to verify that my code works with regards to recovering parameters of normal distributions. I'm using this document regarding the normal-gamma distribution: ...
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### how to generate samples with the given autocorrelation function

I want to generate some spatial data where the points/location in the space form a multivariate gaussian distribution. I want these points to have certain autocorrelation given by the variogram model ...