Results 71 to 80 of about 7,202 (166)

Spatio-Temporal Count Autoregression

open access: yesData Science in Science
We study the problem of modeling and inference for spatio-temporal count processes. Our approach uses parsimonious parameterisations of multivariate autoregressive count time series models, including possible regression on covariates.
Steffen Maletz   +2 more
doaj   +1 more source

Decentralized Autoregressive Generation

open access: yesCoRR
The decentralization of autoregressive generation has attracted considerable attention in recent years as a solution to scaling bottlenecks. However, despite promising empirical results, this paradigm currently lacks rigorous theoretical justification. In this work, we formally establish the theoretical equivalence between decentralized and centralized
Stepan Maschan, Haoxuan Qu, Jun Liu 0036
openaire   +3 more sources

autoregression

open access: yes
Citation: 'autoregression' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10084 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for commercial
openaire   +1 more source

MODEL OF OPTIMAL REGULATION OF NON-OBSERVABLE (HIDDEN) RANDOM PROCESS

open access: yesAdvanced Engineering Research, 2006
In the present paper the problem of non-observable (hidden) random autoregression process control based on the criteria of minimal dispersion of dynamical ratio value between an observable autoregression processes with hidden random process-dependent ...
D. LEDNOV
doaj  

MODEL OF OPTIMAL REGULATION OF NON-OBSERVABLE (HIDDEN) RANDOM PROCESS

open access: yesВестник Донского государственного технического университета, 2018
In the present paper the problem of non-observable (hidden) random autoregression process control based on the criteria of minimal dispersion of dynamical ratio value between an observable autoregression processes with hidden random process-dependent ...
D. LEDNOV
doaj  

Improved Subset Autoregression: With R Package

open access: yesJournal of Statistical Software, 2008
The FitAR R (R Development Core Team 2008) package that is available on the Comprehensive R Archive Network is described. This package provides a comprehensive approach to fitting autoregressive and subset autoregressive time series. For long time series
A. I. McLeod, Ying Zhang
doaj  

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