Forecasting COVID-19 pandemic using optimal singular spectrum analysis. [PDF]
Chaos Solitons Fractals, 2021 Kalantari M.
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Study of the trend pattern of COVID-19 using spline-based time series model: a Bayesian paradigm. [PDF]
Jpn J Stat Data Sci, 2022 Kumar J, Agiwal V, Yau CY.
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WEAK SINDy: GALERKIN-BASED DATA-DRIVEN MODEL SELECTION. [PDF]
Multiscale Model Simul, 2021 Messenger DA, Bortz DM.
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A Dynamic Model for Double Bounded Time Series With Chaotic Driven Conditional Averages
, 2019 In this work we introduce a class of dynamic models for time series taking values on the unit interval. The proposed model follows a generalized linear model approach where the random component, conditioned on the past information, follows a beta ...
Prass, Taiane Schaedler +2 more
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Simultaneous loading of PCR-based multiple fragments on mouse artificial chromosome vectors in DT40 cell for gene delivery. [PDF]
Sci Rep, 2022 Yamazaki K +10 more
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Intercropping System and N2 Fixing Bacteria Can Increase Land Use Efficiency and Improve the Essential Oil Quantity and Quality of Sweet Basil (Ocimum basilicum L.). [PDF]
Front Plant Sci, 2020 Kordi S +4 more
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An Enterprise Time Series Forecasting System for Cloud Applications Using Transfer Learning. [PDF]
Sensors (Basel), 2021 Poghosyan A +6 more
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Generation of stochastic time series via deep learning [PDF]
En els darrers anys, les tècniques generatives d'aprenentatge profund han vist un ampli ús, especialment en la generació d'imatges i text. Aquests mètodes també s'han mostrat prometedors en la generació de dades de sèries temporals, fins i tot en dominis
Vilella Piqué, Arnau
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Skew selection for factor stochastic volatility models. [PDF]
J Appl Stat, 2020 Nakajima J.
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Commensal bacteria drive endogenous transformation and tumour stem cell marker expression through a bystander effect. [PDF]
Gut, 2015 Wang X, Yang Y, Huycke MM.
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