"This is the first in a new series of examples I'm putting together to demonstrate how to do some more advanced things with the code. These are more stand-alone than the basic examples, and will be ...

Abstract: Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial focuses on the performance evaluation of linear codes under optimal maximum-likelihood (ML) decoding.

A transformational measurement model for structural equation modeling (SEM) of asymmetric non-normal data is proposed. This measurement model aligns with the expectation-maximization (EM) algorithm of ...

Implemented a language model for a class project in Python which uses Maximum Likelihood Estimation and Laplace Smoothing to automatically generate language.

Abstract: This paper addresses the parameter estimation of multicomponent polynomial-phase signals (mc-PPSs). Recently proposed quasi-maximum likelihood (QML) method based on the short-time Fourier ...

Contributed by Emmanuel J. Candès, September 19, 2018 (sent for review June 21, 2018; reviewed by Nancy M. Reid and Huibin [Harry] Zhou) ...

A frequent problem in estimating logistic regression models is a failure of the likelihood maximization algorithm to converge. Although popular and extremely well established in bias correction for ...