Log-normal Distribution - A simple explanation, by Maja Pavlovic

Why WGANs beat GANs: A journey from KL divergence to Wasserstein loss, by Shashank Kumar

Maximum likelihood estimation for the regression parameters, by Utpal Kumar

PDF) INJURIES IN PRESCHOOL CHILDREN AND THE POSSIBILITIES OF THEIR PREVENTION

How to add uncertainty to your neural network, by Alvaro Durán Tovar, Deep Learning made easy

Chemical Aspect of Displacive-Type Ferroaxial Phase Transition from Perspective of Second-Order Jahn–Teller Effect: NASICON Systems as an Example

Uncertainty in Deep Learning — Epistemic Uncertainty and Bayes by Backprop, by Kaan Bıçakcı

The most insightful stories about Probability Distributions - Medium

In vitro evaluation of micelles. Notes: (A) In vitro PTX-release

IJMS, Free Full-Text

Log-normal Distribution - A simple explanation, by Maja Pavlovic

Log-normal Distribution - A simple explanation, by Maja Pavlovic

Insurance Risk Pricing — Tweedie Approach, by Ajay Tiwari

How to add uncertainty to your neural network, by Alvaro Durán Tovar, Deep Learning made easy

Maximum likelihood estimation for the regression parameters, by Utpal Kumar