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Autoregressive Models Estimation Selection with Known Marginal Distribution
A time series is a sequence of observations recorded at regular intervals. Time series analysis has applications in diverse fields such as finance, stock prices, economics, environmental science, and social network data analysis.
Israa Amer Flayyih, Basad Al-sarray
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A seasonal Integer-Valued AR(1) model with delaporte marginal distribution [PDF]
Real-count data time series often show the phenomenon of over-dispersion. In this paper, we introduce the first-order integer-valued autoregressive process with seasonal structure.
Maryam Shalbaf +2 more
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Different Ecological Niches of Poisonous Aristolochia clematitis in Central and Marginal Distribution Ranges-Another Contribution to a Better Understanding of Balkan Endemic Nephropathy. [PDF]
Brzić I +14 more
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STUDI PERBANDINGAN ANTARA ALGORITMA BIVARIATE MARGINAL DISTRIBUTION DENGAN ALGORITMA GENETIKA
Bivariate Marginal Distribution Algorithm is extended from Estimation of Distribution Algorithm. This heuristic algorithm proposes the new approach for recombination of generate new individual that without crossover and mutation process such as genetic ...
Chastine Fatichah +2 more
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MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition. [PDF]
Chen H, Jin M, Li Z, Fan C, Li J, He H.
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Large-scale distributed energy resources, such as electric vehicles (EVs) asymmetric access to low-voltage distribution systems, may cause security problems, including line congestion, voltage violation, and three-phase unbalance.
Jinli Zhao +5 more
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Global Distribution of Marginal Accessory Tubercles of the Maxillary Premolars
The present study assesses the global distribution of marginal accessory tubercles of the maxillary premolars. This trait, despite constituting one of the variables standardized by Turner and colleagues (1991), has received little attention in ...
Donovan M. Adams +2 more
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Data-driven Informative Priors for Bayesian Inference with Quasiperiodic Data
Bayesian computational strategies for inference can be inefficient in approximating the posterior distribution in models that exhibit some form of periodicity.
Javier López-Santiago +3 more
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Background/purpose: Nowadays, zirconia-based framework has been used for longspan or full-arch fixed dental prostheses (FDPs). This study aimed to evaluate the effect of pontic distribution on marginal and internal gaps of five-unit anterior ...
Min-Chieh Chang +3 more
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With the implementation of the“ double carbon”target, the penetration rate of DG from intermittent distributed power sources in active distribution networks is increasing, which brings about increasingly prominent problems such as voltage overruns and ...
QIU Cheng +8 more
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