Spatial Temporal Conditional Auto-Regressive Model: A New Autoregressive Matrix
, 2016 In the study of geographical patterns of disease, multivariate areal data models proposed so far in the literature (Ma and Carlin, 2007; Carlin and Banerjee, 2003; Knorr-Held and Best, 2001) have allowed to handle several features of a phenomenon at the ...
Marco Tarantino, Leonardo Mariella
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Auto-regressive extractive summarization with replacement
, 2023 Auto-regressive extractive summarization approaches determine sentence extraction probability conditioning on previous decisions by maintaining a partial summary representation. Despite its popularity, the framework has two main drawbacks: 1) the partial
Tianyu Zhu +9 more
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Spatiotemporal Auto-regressive Model for Origin–destination Air Passenger Flows
, 2018 The growth of the global airline network has increased the importance of modelling origin-destination air passenger flows for better operational planning and scheduling.
Kim, Keunseo +5 more
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Modelling and comparing the seasonal and diurnal components of electricity demand, wind speed, wave height and wave period; for the Isles of Lewis and Harris [PDF]
, 2014 The location of the Isles of Lewis and Harris, off the west coast of mainland Scotland, is favourable for the generation of renewable electricity from both the wind and ocean waves.
Samuel, Bryan
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LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence [PDF]
Due to the need to interact with the real world, embodied agents are required to possess comprehensive prior knowledge, long-horizon planning capability, and a swift response speed.
Li, Zhuoling +4 more
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EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation [PDF]
Current auto-regressive mesh generation methods suffer from issues such as incompleteness, insufficient detail, and poor generalization. In this paper, we propose an Auto-regressive Auto-encoder (ArAE) model capable of generating high-quality 3D meshes ...
Zhang, Qinsheng +6 more
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An Auto-regressive Model for an Arterial Continuous Glucose Monitoring Sensor [PDF]
, 2017 Continuous glucose monitoring (CGM) devices have the potential to reduce nurse workload in the ICU while improving glycaemic control (GC). However, larger point accuracy errors that are inherent in these devices can lead to adverse consequences for GC ...
Dickson JL, Zhou T, Chase, Geoff
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Advancing Bayesian Forecasting: A Bayesian Dirichlet Auto-Regressive Conditional Heteroskedasticity Model, a Bayesian Dirichlet Auto-Regressive Moving Average Model, and Other Innovations [PDF]
This dissertation introduces new Bayesian time series models for compositional and high-dimensional data with dynamic structure and potential heteroskedasticity.
Katz, Harrison
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, 2013 Buku perkuliahan analisis vektor disususn oleh tim penulis jurusan pendidikan matematika fakultas tarbiyah, memiliki fungsi sebagai salah satu sarana pembekajaran pada mata kuliah analisis vektor.
YUNI ARRIFADAH +3 more
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Parametric SNR Estimation Based on Auto-Regressive Model in AWGN Channels
, 2020 ⎯Signal-to-noise ratio (SNR) estimation for signal which can be modeled by Auto-regressive (AR) process is studied in this paper. First, the conventional frequency domain method is introduced to estimate the SNR for the received signal in additive white ...
Dan-Ping Bai +3 more
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