This study introduces a novel and highly flexible class of discrete probability distributions tailored to model the diverse monotonic failure-rate patterns frequently observed in stock-market data.

I've been working with MathNet.Numerics.Distributions recently and I'm really confused by certain design decisions. When writing generic algorithms that operate on probability distributions; it's ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

The Internal Revenue Service issued final regulations on Oct. 21, 2024 regarding withholding on certain distributions to recipients outside the United States from retirement plans that aren’t eligible ...

The difference is that before, the input to the policy was given as a kwarg to be the logits. Now, it's a positional argument referring to the probs argument of Categorical which, of course, expects ...

Abstract: We consider a private discrete distribution estimation problem with one-bit communication constraint. The privacy constraints are imposed with respect to ...

ABSTRACT: Although there are many measures of variability for qualitative variables, they are little used in social research, nor are they included in statistical software. The aim of this article is ...