A theoretical analysis is presented of the stochastic gradient adaptive lattice filter used as a linear, one-step predictor, when the effects of finite-precision arithmetic are taken into account.

Christian Gourieroux a, Joann Jasiak b, Analysis of Virus Transmission: A Stochastic Transition Model Representation of Epidemiological Models, Annals of Economics and Statistics, No. 140 (December ...

The Data Science Lab. Logistic Regression with Batch SGD Training and Weight Decay Using C#. Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to ...

In this letter, we consider the parameter estimation problem of continuous-time linear stochastic regression models described by stochastic differential equatio Performance Analysis of Least Squares ...

The stochastic aspect of machine learning algorithms is most evident in complicated and nonlinear approaches used to solve classification and regression predictive modelling issues. These methods ...

Sample Selection Correction Stochastic Frontier Model; This model solves the selection bias due to the correlation between the two-sided errors terms in both the selection and the frontier equations, ...

Keywords: statistical heuristic regression, susceptible-infected-removed model, spatial stochastic, Monte-Carlo, COVID-19, SARS-CoV-2. Citation: de Andres P, de Andres-Bragado L and Hoessly L (2021) ...