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Inverse-Probability-Weighted Wavelet Estimation of Regression Derivatives Under Missing-at-Random Responses for Stationary Ergodic Processes. [PDF]
Entropy (Basel)Bouzebda S, Didi S.
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International Journal of Geographical Information Science, 2020 Geographically weighted regression (GWR) is a classic and widely used approach to model spatial non-stationarity. However, the approach makes no precise expressions of its weighting kernels and is insufficient to estimate complex geographical processes ...
Zhenhong Du +4 more
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An investigation on the non-stationarity of flood frequency across the UK
Journal of Hydrology, 2021Water infrastructure design and flood mitigation projects are currently based on a so-called stationary assumption. However, this assumption has been challenged in recent years due to increased extreme weather, potentially leading to the underestimation ...
Konstantinos Papadikis +2 more
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Applied Quantitative Analysis for Real Estate, 2020
S. Tsolacos, M. Andrew
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S. Tsolacos, M. Andrew
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Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
Neural Information Processing Systems, 2022Transformers have shown great power in time series forecasting due to their global-range modeling ability. However, their performance can degenerate terribly on non-stationary real-world data in which the joint distribution changes over time.
Yong Liu +3 more
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Electrochemical impedance spectroscopy beyond linearity and stationarity - a critical review
Electrochimica Acta, 2023Electrochemical impedance spectroscopy (EIS) is a widely used experimental technique for characterising materials and electrode reactions by observing their frequency-dependent impedance.
N. Hallemans +9 more
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Ecological and methodological drivers of non‐stationarity in tree growth response to climate
Global Change Biology, 2022Radial tree growth is sensitive to environmental conditions, making observed growth increments an important indicator of climate change effects on forest growth.
Jan Tumajer +10 more
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TESTING FOR TREND STATIONARITY VERSUS DIFFERENCE STATIONARITY
Journal of Time Series Analysis, 1995Abstract. Testing the null hypothesis that a process is difference stationary has received considerable attention in the past decade. Recently, there has been some interest in testing the null hypothesis that a process is a sum of a linear trend and a stationary invertible noise sequence.
Arellano, Consuelo, Pantula, Sastry G.
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Rhizosphere size and shape: Temporal dynamics and spatial stationarity
Soil Biology and Biochemistry, 2019The soil volume affected by roots – the rhizosphere – is one of the most important microbial hotspots determining the processes, dynamics and cycling of carbon (C), nutrients and water in terrestrial ecosystems.
Y. Kuzyakov, B. Razavi
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IEEE Signal Processing Magazine, 2020
Many contemporary applications in signal processing and machine learning give rise to structured nonconvex nonsmooth optimization problems that can often be tackled by simple iterative methods quite effectively.
Jiajin Li, A. M. So, Wing-Kin Ma
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Many contemporary applications in signal processing and machine learning give rise to structured nonconvex nonsmooth optimization problems that can often be tackled by simple iterative methods quite effectively.
Jiajin Li, A. M. So, Wing-Kin Ma
semanticscholar +1 more source