Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
Noise-Resilient Whitened Domain Adaptation for Intelligent Mechanical Fault Diagnosis Under Non-Stationary Sensor Signals. [PDF]
Chen Q, Xie Y.
europepmc +1 more source
Mathematical Modeling of Pulse‐Seeded Metapopulation Dynamics for Andes Hantavirus Border Dispersal
A pulse‐seeded metapopulation SEIR model for Andes hantavirus maritime dispersal shows that heterogeneous quarantine compliance determines secondary outbreak risk. The weakest‐compliance country governs global containment, while uniform compliance above ∼65%$$ \sim 65\% $$ reduces the global reproduction number below unity.
Gideon K. Gogovi, Paul Chataa
wiley +1 more source
Smooth optimization using global and local low-rank regularizers. [PDF]
Lobos RA +3 more
europepmc +1 more source
Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data
ABSTRACT In spatial statistics, the spatially varying coefficient model (SVCM) is widely applied in the analysis and interpolation of non‐stationary spatial data. By incorporating spatially varying coefficients, the model can capture spatial heterogeneity and provide an attractive interpretation of response‐covariate associations.
Tong Wu, Nan Chen, Zhi‐Sheng Ye
wiley +1 more source
EMP: Enhanced Multi-modal Prediction for fashion sales using Fourier Mapping and ERP-based contrastive learning. [PDF]
Park S, Park B, Lee S, Shin S, Kim W.
europepmc +1 more source
Visibility and Intersection Density for Boolean Models in Hyperbolic Space
ABSTRACT For Poisson particle processes in hyperbolic space we introduce and study concepts analogous to the intersection density and the mean visible volume, which were originally considered in the analysis of Boolean models in Euclidean space. In particular, we determine a necessary and sufficient condition for the finiteness of the mean visible ...
Tillmann Bühler +2 more
wiley +1 more source
On ``Lipschitz'' subspaces of the space of continuous functions
The main result of the paper is that certain ``good'' closed subspace \(S\) of the Banach space \(C(K)\) of all complex valued functions continuous on a compact metric space \(K\) is ``small''. More precisely, if \(S\) is a closed linear subspace of \(C(K)\) such that for every \(f\in S\) \[ \sup _{\delta >0}\frac {\omega _f(\delta)}{\omega (\delta)}
openaire +2 more sources
PROFET predicts continuous gene expression dynamics from scRNA-seq data to elucidate heterogeneity of cancer treatment responses. [PDF]
Cheng YC +15 more
europepmc +1 more source
ABSTRACT In this work, we present an extension of the semi‐discrete Lagrangian‐Eulerian numerical scheme for diffusive‐dispersive conservation law problems, including a jump discontinuous flux function. As in the one‐dimensional scalar hyperbolic case, the no‐flow curves also organize the geometry of the method.
Eduardo Abreu +2 more
wiley +1 more source

