Results 111 to 120 of about 1,708,415 (229)
UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data. [PDF]
Abe K, Shimamura T.
europepmc +1 more source
Invasive plant species pose significant challenges to natural resources and communities around the world. However, invasive plant management may require different motivations than other pro‐environmental behaviors because mitigation of invasive plants often comes at high individual cost, has limited effectiveness when undertaken in isolation, and ...
Danielle M. McLaughlin +6 more
wiley +1 more source
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
Advances in independent component analysis and nonnegative matrix factorization [PDF]
A fundamental problem in machine learning research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors.
Yuan, Zhijian
core +1 more source
Global and Local Similarity Learning in Multi-Kernel Space for Nonnegative Matrix Factorization. [PDF]
Peng C +5 more
europepmc +1 more source
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
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
Log-based sparse nonnegative matrix factorization for data representation. [PDF]
Peng C +5 more
europepmc +1 more source
L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing
L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral ...
Yuntao Qian (782935) +3 more
core
The Distributional Effects of Economic Uncertainty*
ABSTRACT We study the distributional implications of uncertainty shocks by developing a model that links macroeconomic aggregates to the US distribution of earnings and consumption. Our findings suggest that the fraction of low‐earning workers decreases initially, while the share of households reporting low consumption increases.
Florian Huber +2 more
wiley +1 more source
Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis. [PDF]
Rao L, Peng B, Li T.
europepmc +1 more source

