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检索条件"主题词=AUTOREGRESSIVE PROCESSES"
2604 条 记 录,以下是1-10 订阅
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Cramér's moderate deviations for the LS estimator of the autoregressive processes in the neighborhood of the unit root
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STATISTICS & PROBABILITY LETTERS 2024年 209卷
作者: Miao, Yu Yin, Qing Henan Normal Univ Coll Math & Informat Sci Xinxiang 453007 Henan Province Peoples R China Henan Normal Univ Henan Engn Lab Big Data Stat Anal & Optimal Contro Xinxiang 453007 Henan Province Peoples R China
In this paper, we consider the linear autoregressive model with varying coefficient theta n stending to the unit root. Cram & eacute;r's moderate deviations of the least-squares estimator of the parameter thet... 详细信息
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Forecasting UK consumer price inflation with RaGNAR: Random generalised network autoregressive processes
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International Journal of Forecasting 2025年
作者: Nason, Guy P. Palasciano, Henry Antonio Department of Mathematics Imperial College London SW7 2AZ London United Kingdom
This article forecasts consumer price index (CPI) inflation in the United Kingdom using random generalised network autoregressive (RaGNAR) processes. More specifically, we fit generalised network autoregressive (GNAR)... 详细信息
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On two classes of reflected autoregressive processes
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JOURNAL OF APPLIED PROBABILITY 2020年 第2期57卷 657-678页
作者: Boxma, Onno Loepker, Andreas Mandjes, Michel Eindhoven Univ Technol Dept Math & Comp Sci POB 513 NL-5600 MB Eindhoven Netherlands HTW Dresden Dresden Germany Univ Amsterdam Korteweg de Vries Inst Math Sci Pk 904 NL-1098 XH Amsterdam Netherlands Univ Appl Sci Hsch Tech & Wirtschaft Friedrich List Pl 1 D-01069 Dresden Germany
We introduce two general classes of reflected autoregressive processes, INGAR(+)and GAR(+). Here, INGAR(+)can be seen as the counterpart of INAR(1) with general thinning and reflection being imposed to keep the proces... 详细信息
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FINITE SAMPLE DEVIATION AND VARIANCE BOUNDS FOR FIRST ORDER autoregressive processes
FINITE SAMPLE DEVIATION AND VARIANCE BOUNDS FOR FIRST ORDER ...
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Gonzalez, Rodrigo A. Rojas, Cristian R. KTH Royal Inst Technol Div Decis & Control Syst Stockholm Sweden
In this paper, we study finite-sample properties of the least squares estimator in first order autoregressive processes. By leveraging a result from decoupling theory, we derive upper bounds on the probability that th... 详细信息
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A Finite-Sample Deviation Bound for Stable autoregressive processes  2
A Finite-Sample Deviation Bound for Stable Autoregressive Pr...
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2nd Annual Conference on Learning for Dynamics and Control (L4DC)
作者: Gonzalez, Rodrigo A. Rojas, Cristian R. KTH Royal Inst Technol Div Decis & Control Syst Stockholm Sweden
In this paper, we study non-asymptotic deviation bounds of the least squares estimator for Gaussian AR(n) processes. By relying on martingale concentration inequalities and a tail-bound for similar to 2 distributed va... 详细信息
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Analytical Formulation of Bubble Entropy for autoregressive processes
Analytical Formulation of Bubble Entropy for Autoregressive ...
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Conference of the European Study Group on Cardiovascular Oscillations
作者: Matteo Bodini Massimo Walter Rivolta George Manis Roberto Sassi Università degli Studi di Milano Via Celoria 18 Milano Italy University of Ioannina Ioannina Greece
Bubble Entropy is a recently proposed entropy metric, that is almost free of parameters. Up to date, only an operational formulation of Bubble Entropy was available. In this paper, we derived analytical formulations o... 详细信息
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Jeffrey's divergence between autoregressive processes disturbed by additive white noises
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SIGNAL PROCESSING 2018年 149卷 162-178页
作者: Legrand, L. Grivel, E. Thales Syst Aeroportes SA 75-77 Ave Marcel Dassault F-33700 Merignac France Univ Bordeaux IMS UMR Bordeaux INP ENSEIRB MATMECA CNRS 5218 351 Cours Liberat F-33405 Talence France
Jeffrey's divergence (JD), which is the symmetric version of the Kullback-Leibler divergence, has been used in a wide range of applications, from change detection to clutter homogeneity analysis in radar processin... 详细信息
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Generalizations of Nonanticipative Rate Distortion Function to Multivariate Nonstationary Gaussian autoregressive processes
Generalizations of Nonanticipative Rate Distortion Function ...
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IEEE Conference on Decision and Control
作者: Charalambos D. Charalambous Christos Kourtellaris Themistoklis Charalambous Jan H. van Schuppen Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland company Van Schuppen Control Research Amsterdam Netherlands
The characterizations of nonanticipative rate distortion function (NRDF) on a finite horizon are generalized to nonstationary multivariate Gaussian order L autoregressive, AR(L), source processes, with respect to mean... 详细信息
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Sparse Transition Matrix Estimation for Sub-Gaussian autoregressive processes with Missing Data
Sparse Transition Matrix Estimation for Sub-Gaussian Autoreg...
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American Control Conference
作者: Jalali, Amin Willett, Rebecca Wisconsin Inst Discovery Optimizat Theme Madison WI 53715 USA Univ Wisconsin Dept Elect & Comp Engn Madison WI 53706 USA Wisconsin Inst Discovery Madison WI USA
High-dimensional time series data exist in numerous areas such as finance, genomics, healthcare, and neuroscience. An unavoidable aspect of all such datasets is missing data, and dealing with this issue has been an im... 详细信息
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PREDICTION-BASED SIMILARITY IDENTIFICATION FOR autoregressive processes
PREDICTION-BASED SIMILARITY IDENTIFICATION FOR AUTOREGRESSIV...
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IEEE Global Conference on Signal and Information Processing (GlobalSIP)
作者: Wu, Hanwei Wang, Qiwen Flierl, Markus KTH Royal Inst Technol Sch Elect Engn & Comp Sci Stockholm Sweden
The task of similarity identification is to identify items in a database which are similar to a given query item for a given metric. The identification rate of a compression scheme characterizes the minimum rate that ... 详细信息
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