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Stationarity and Invertibility
Most time series methods are only valid if the underlying time series is stationary. A time series is stationary if its mean, variance, and...
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Sequential M-Stationarity Conditions for General Optimization Problems
In this paper, we investigate sequential M-stationarity conditions for a class of nonsmooth nonconvex general optimization problems. We introduce...
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Stationarity and cycles in the energy consumption in the United States
The purpose of this paper is twofold: analyzing stationarity of energy consumption by source in the United States and studying their cycles and...
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Are weaker stationarity concepts of stochastic MPCC problems significant in absence of SMPCC-LICQ?
In this article, we study weak stationarity conditions (A- and C-) for a particular class of degenerate stochastic mathematical programming problems...
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Research on the Degree of Non-Stationarity in Extreme Precipitation in the Continental United States
The non-stationarity of identifying hydrological extreme sequences is essential for understanding the patterns of hydrological systems and conducting...
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Analyzing Stationarity in World Coffee Prices
This paper investigates the degree of persistence of monthly coffee prices of five different groups (ICO Composite, Brazilian Naturals, Other Milds,...
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Detection of Climate Non Stationarity of Indian Rainfall Using Innovative Trend Family of Techniques
The hydrological cycle is significantly impacted by climatic changes, and understanding such changes using statistical or graphical methods is...
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Assessing Spatial Stationarity and Segmenting Spatial Processes into Stationary Components
In this research, we propose a novel technique for visualizing nonstationarity in geostatistics, particularly when confronted with a single...
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Time stationarity, shape and ordinal ranking bias of RCA indexes: a new set of measures
A new set of tools to measure the time stationarity, shape and ordinal ranking bias of Revealed Comparative Advantage (RCA) indexes is suggested. The...
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Strong Stationarity Conditions for the Optimal Control of a Cahn–Hilliard–Navier–Stokes System
This paper is concerned with the distributed optimal control of a time-discrete Cahn–Hilliard–Navier–Stokes system with variable densities. It...
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Non-stationarity Detection in Model-Free Reinforcement Learning via Value Function Monitoring
The remarkable success achieved by Reinforcement learning (RL) in recent years is mostly confined to stationary environments. In realistic settings,...
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Spatial non-stationarity in the distribution of fish species richness of tropical streams
Diversity gradients are observed for various groups of organisms. For fishes in streams, the water-energy, productivity, and temporal heterogeneity...
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Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks
Generated synthetic time series aim to be both realistic by mirroring the characteristics of real-world time series and useful by including...
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Long term 5G network traffic forecasting via modeling non-stationarity with deep learning
5G cellular networks have recently fostered a wide range of emerging applications, but their popularity has led to traffic growth that far outpaces...
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Costationary Whitenoise Processes and Local Stationarity Testing
This paper provides three main contributions to the study of multiscale locally stationary processes. We introduce a new class of stochastic...
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Strong Stationarity for Optimal Control Problems with Non-smooth Integral Equation Constraints: Application to a Continuous DNN
Motivated by the residual type neural networks (ResNet), this paper studies optimal control problems constrained by a non-smooth integral equation...
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Comparing and Detecting Stationarity and Dataset Shift
Machine learning algorithms have been increasingly applied to spatial numerical modeling. However, it is important to understand when such methods...
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The Birth–death Processes with Regular Boundary: Stationarity and Quasi-stationarity
For the birth—death Q -matrix with regular boundary, its minimal process and its maximal process are closely related. In this paper, we obtain the...
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The methodological problem of unit roots: stationarity and its consequences in the context of the Tinbergen debate
In this paper we highlight an important yet often neglected issue that arises within the context of the broader set of concerns set out in Keynes’s...
