normal gaussian

Why is the Normal Distribution so Normal?

Towards Data Science

The Normal (Gaussian) Distribution arises in statistics from the Central Limit Theorem. But in cases like the stock market, Lévy α-stable distributions arise instead.

Introduction to Gaussian Distribution

Towards AI

Machine learning models such as linear and logistic regression assume that the variables are normally distributed. Others benefit from variables that have “Gaussian-like” distributions. In such…

Normal/Gaussian Distribution/Bell Curve

Analytics Vidhya

Normal distribution is symmetric around the mean. In a sample of data points, there will be equal distribution of data points on either sides of the mean. Normal distribution helps us get rid of the…

torch.signal.windows.gaussian

PyTorch documentation

Computes a window with a gaussian waveform. The gaussian window is defined as follows: The window is normalized to 1 (maximum value is 1). However, the 1 doesn’t appear if M is even and sym is True . ...

A Simple Introduction to Gaussian Mixture Model (GMM)

Towards Data Science

A Gaussian distribution is what we also know as the Normal distribution. You know, that well spread concept of a bell shaped curve with the mean and median as central point. Given that, if we look at…...

GaussianNLLLoss

PyTorch documentation

Gaussian negative log likelihood loss. The targets are treated as samples from Gaussian distributions with expectations and variances predicted by the neural network. For a target tensor modelled as h...

Multivariate Normal Distribution

Towards Data Science

Normal distribution, also called gaussian distribution, is one of the most widely encountered distributions. One of the main reasons is that the normalized sum of independent random variables tends…

optimal Gaussian zorbing

R-bloggers

A zorbing puzzle from the Riddler: cover the plane with four non-intersecting disks of radius one towards getting the highest probability (under the standard bivariate Normal distribution). As I could...

Fitting robust non-Gaussian models in Stan and R-INLA

R-bloggers

Overview Traditionally the excitation noise of spatial and temporal models is Gaussian. Take, for instance, an AR1 (autoregressive of order 1) process, where the increments (x_{i+1}-\rho x_i, \ \ |\rh...

Do You Understand Normal Distribution

Analytics Vidhya

The Normal or Gaussian Distribution is Quite Famous in Statistics . As a Data scientist you might came across this distribution . It has Lots of properties, which people use to estimate some…

What on earth is a Gaussian Process?

Towards Data Science

A Gaussian Process is a nonparametric model. By contrast, linear regression is a parametric model. Consider y = m*x + b. In this model, m and bare parameters, which say, “on average, scale x by m and…...

Gaussian Processes

Dive intro Deep Learning Book

Andrew Gordon Wilson ( New York University and Amazon ) Gaussian processes (GPs) are ubitiquous. You have already encountered many examples of GPs without realizing it. Any model that is linear in its...