Results 71 to 80 of about 7,202 (166)
Spatio-Temporal Count Autoregression
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
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Correction: Autocorrelation, Autoregression and Autoregressive Approximation
An, Hong-Zhi +2 more
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Decentralized Autoregressive Generation
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
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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
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MODEL OF OPTIMAL REGULATION OF NON-OBSERVABLE (HIDDEN) RANDOM PROCESS
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
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
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
Exploring the antecedents of tourist satisfaction: A big data analysis of ice and snow tourism destinations. [PDF]
Wang S, Chen S, Guan Q.
europepmc +1 more source
Daily Body (Dis-)Satisfaction and Dietary Restriction in Women Across the Eating Disorder Spectrum. [PDF]
Buehler MR +3 more
europepmc +1 more source

