Results 61 to 70 of about 1,769,588 (220)
Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Real Estate Economics, EarlyView.Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley +1 more source
Flexible unimodal density estimation in hidden Markov models
Methods in Ecology and Evolution, EarlyView.Abstract Hidden Markov models (HMMs) are powerful tools for modelling time‐series data with underlying state structure. However, selecting appropriate parametric forms for the state‐dependent distributions is often challenging and can lead to model misspecification.
Jan‐Ole Fischer +5 more
wiley +1 more source
Multidimensional unipolar IRT and applications to the measurement of print exposure
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Item response theory (IRT) has been a prominent modelling framework in educational and psychological measurement. Traditional IRT models are bipolar, commonly assuming symmetric measurement link functions and symmetric trait distributions over a latent continuum unbounded at both ends. However, many measured constructs, such as print exposure,
Qi (Helen) Huang, Daniel M. Bolt
wiley +1 more source
Relaxing the nonsingularity assumption for intervals of totally nonnegative matrices
, 2019 Totally nonnegative matrices, i.e., matrices having all their minors nonnegative, and matrix intervals with respect to the checkerboard partial order are considered.
Al Muhtaseb, Khawla +3 more
core +1 more source
Topology‐based Visual Analysis of Hydrothermal Plumes
Computer Graphics Forum, EarlyView.Abstract Hydrothermal plumes are turbulent structures of intense heat and mineral smoke that rise and disperse into the deep ocean. Existing models generally characterize these systems as a single axisymmetric plume originating from a point source. However, this assumption breaks down in weakly venting, spatially distributed systems, where low‐flux ...
Adhitya Kamakshidasan +3 more
wiley +1 more source
European Financial Management, EarlyView.ABSTRACT Zero‐leverage firms remain a puzzle in corporate finance. We propose a supply‐side mechanism linking environmental impact to debt access. Because creditors favour firms with high negative externalities and strong cash flows, environmentally friendly firms with high initial costs face tighter credit constraints.
Paolo Saona +3 more
wiley +1 more source
In this note we consider the question under which conditions all entries of the matrix I-(I+X)-1 are nonnegative in case matrix X is a real positive definite matrix.Sufficient conditions are presented as well as some necessary conditions.One sufficient ...
Engwerda, J.C.
core
Groundwater Monitoring &Remediation, EarlyView.Abstract The long‐term and frequent sampling of groundwater monitoring networks is common practice for monitoring the concentrations of constituents of potential concern (CoPC) over space and time. Sampling can be a costly and time‐intensive process that also incurs health and safety risks. A redundancy‐based ranking of candidate sampling locations can
Peter Radvanyi +5 more
wiley +1 more source
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
International Economic Review, EarlyView.ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source