Comparison of a non‐stationary voxelation‐corrected cluster‐size test with TFCE for group‐Level MRI inference
Sign Up to like & getrecommendations! Published in 2017 at "Human Brain Mapping"
DOI: 10.1002/hbm.23453
Abstract: Two powerful methods for statistical inference on MRI brain images have been proposed recently, a non‐stationary voxelation‐corrected cluster‐size test (CST) based on random field theory and threshold‐free cluster enhancement (TFCE) based on calculating the level… read more here.
Keywords: group level; voxelation corrected; level; non stationary ... See more keywords
Non‐stationary bias correction of monthly CMIP5 temperature projections over China using a residual‐based bagging tree model
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Climatology"
DOI: 10.1002/joc.5188
Abstract: The biases in the Global Circulation Models (GCMs) are crucial for understanding future climate changes. Currently, most bias correction methodologies suffer from the assumption that model bias is stationary. This paper provides a non-stationary bias… read more here.
Keywords: bias correction; model; non stationary; temperature ... See more keywords
Non‐stationary modelling of extreme precipitation by climate indices during rainy season in Hanjiang River Basin, China
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Climatology"
DOI: 10.1002/joc.6065
Abstract: The extreme precipitation regimes have been changing as the climate system has warmed. Investigating the non‐stationarity and better estimating the changes of the extreme precipitation are valuable for informing policy decisions. In this study, two… read more here.
Keywords: precipitation events; climate indices; non stationary; precipitation ... See more keywords
Stationary and non‐stationary detection of extreme precipitation events and trends of average precipitation from 1980 to 2010 in the Paraná River basin, Brazil
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Climatology"
DOI: 10.1002/joc.6265
Abstract: The main objective of this study was to investigate the trends on average and extreme events in time series of daily precipitation from 1980 to 2010 in the Parana River basin, Brazil. The nonparametric Mann–Kendall… read more here.
Keywords: non stationary; precipitation; trends average; river basin ... See more keywords
Non‐stationary characteristics of intraseasonal precipitation variability in Northeast Asia during the boreal summer
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Climatology"
DOI: 10.1002/joc.6647
Abstract: In this study, we examined the non‐stationary characteristics of precipitation variability in Korea on intraseasonal timescales during the boreal summer (June–July–August) for 1979–2017 by analysing the European Center for Medium‐Range Weather Forecasts ERA‐interim reanalysis data… read more here.
Keywords: intraseasonal precipitation; precipitation variability; stationary characteristics; non stationary ... See more keywords
Asymptotics for models of non‐stationary diffusion in domains with a surface distribution of obstacles
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.5323
Abstract: The authors would like to thank the anonymous referees for their careful reading of the manupscript and useful comments. The work has been partially supported by MINECO, MTM2013-44883-P. read more here.
Keywords: models non; diffusion domains; non stationary; stationary diffusion ... See more keywords
On non‐stationary polarization methods in FFT‐based computational micromechanics
Sign Up to like & getrecommendations! Published in 2021 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.6812
Abstract: Polarization‐type methods are among the fastest solution methods for FFT‐based computational micromechanics. However, their performance depends critically on the choice of the reference material. Only for finitely contrasted materials, optimum‐selection strategies are known. This work… read more here.
Keywords: fft based; computational micromechanics; polarization; methods fft ... See more keywords
$$\varphi \hbox {FrMF}$$φFrMF: Fractional Fourier Matched Filter
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0562-1
Abstract: The paper develops a new interpretation of matched filtering of non-stationary signals in the fractional Fourier transform domain, which is beneficial for non-stationary/time–frequency signal processing applications. In the pursuit of establishing the theoretical and methodical… read more here.
Keywords: varphi hbox; matched filter; non stationary; fractional fourier ... See more keywords
On a continuous spectral algorithm for simulating non-stationary Gaussian random fields
Sign Up to like & getrecommendations! Published in 2017 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-017-1402-3
Abstract: This paper presents an algorithm for simulating Gaussian random fields with zero mean and non-stationary covariance functions. The simulated field is obtained as a weighted sum of cosine waves with random frequencies and random phases,… read more here.
Keywords: random fields; stationary gaussian; algorithm simulating; non stationary ... See more keywords
A sample reconstruction method based on a modified reservoir index for flood frequency analysis of non-stationary hydrological series
Sign Up to like & getrecommendations! Published in 2017 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-017-1465-1
Abstract: Flood extremes, affected by climate change and intense human activities, exhibit non-stationary characteristics. As a result, the stationarity assumption of traditional flood frequency analysis (FFA) cannot be satisfied. Generally, the impacts of human activities, especially… read more here.
Keywords: method; non stationary; series; flood frequency ... See more keywords
Reinforcement learning algorithm for non-stationary environments
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DOI: 10.1007/s10489-020-01758-5
Abstract: Reinforcement learning (RL) methods learn optimal decisions in the presence of a stationary environment. However, the stationary assumption on the environment is very restrictive. In many real world problems like traffic signal control, robotic applications,… read more here.
Keywords: stationary environments; reinforcement learning; non stationary; optimal decisions ... See more keywords