Results 141 to 150 of about 18,244,857 (290)
On observational variance learning for multivariate Bayesian time series and related models [PDF]
This thesis is concerned with variance learning in multivariate dynamic linear models (DLMs). Three new models are developed in this thesis. The first one is a dynamic regression model with no distributional assumption of the unknown variance matrix.
Triantafyllopoulos, K.
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Advanced Science, EarlyView.Disuse‐induced muscle atrophy is driven by a non‐metabolic, nuclear function of the enzyme PFKFB3. Acting as a scaffold, PFKFB3 facilitates Nedd4‐mediated ubiquitination and degradation of the anti‐atrophy transcription factor JunB. Inhibiting this novel PFKFB3–Nedd4–JunB signaling axis stabilizes JunB and alleviates muscle wasting, revealing a highly ...
Mengjun Ma +12 more
wiley +1 more source
Forecasting Time-Series with Correlated Seasonality [PDF]
A new approach is proposed for forecasting a time series with multiple seasonal patterns. A state space model is developed for the series using the single source of error approach which enables us to develop explicit models for both additive and ...
Anne B. Koehler +5 more
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Brain Network Dynamics of Local and Global Predictive Processing in Aging
Advanced Science, EarlyView.Separation of concurrent whole‐brain networks in source‐reconstructed magnetoencephalography (MEG) data suggests that healthy aging reorganizes, rather than uniformly attenuates, neural responses elicited from hierarchical auditory violations. Enhanced early sensory deviance processing alongside reduced higher‐order cognitive responses suggests a large‐
Mathias Houe Andersen +9 more
wiley +1 more source
Forecasting Aggregated Time Series Variables: A Survey [PDF]
Aggregated times series variables can be forecasted in different ways. For example, they may be forecasted on the basis of the aggregate series or forecasts of disaggregated variables may be obtained first and then these forecasts may be aggregated.
Helmut Luetkepohl
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Advanced Science, EarlyView.In this work, we present a bile‐based memristor hardware framework that enables direct, label‐free identification of cholelithiasis and gallbladder cancer at the device level. The Ag/bile/FTO memristor features stable resistive switching and disease‐specific electrical responses, providing a conceptual foundation for circuits and an integrated ERCP ...
Junming Zhu +17 more
wiley +1 more source
Forecasting with mixed-frequency time series models [PDF]
mixed-frequency; forecasting; MIDAS; state ...
Wohlrabe, Klaus
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Advanced Science, EarlyView.The schematic diagram depicts a compartmentalized anti‐ferroptotic defense mechanism mediated by GSTA4. GSTA4 is upregulated and localizes to the cytoplasm in ENZR cells, where it detoxifies 4‐HNE via a non‐canonical GSH‐dependent pathway. Under oxidative stress, GSTA4 translocates to mitochondria, interacts with PGAM5, and blocks Drp1 Ser637 ...
Yong Luo +17 more
wiley +1 more source
Scientific ReportsAccurate forecasting of shipboard electricity demand is essential for optimizing Energy Management Systems (EMSs), which are crucial for efficient and profitable operation of shipboard power grids. To address this challenge, this paper introduces a novel
Paolo Fazzini +3 more
doaj +1 more source
Robust Control Charts for Time Series Data [PDF]
This article presents a control chart for time series data, based on the one-step- ahead forecast errors of the Holt-Winters forecasting method. We use robust techniques to prevent that outliers affect the estimation of the control limits of the chart ...
Mahieu, K., Gelper, S., Croux, C.
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