Results 131 to 140 of about 8,961 (241)
The Legacy of Policy Inaction in Climate‐Growth Models
ABSTRACT To better understand the structure and core mechanisms of a broad class of climate‐growth models, we study a simplified version of the dynamic integrated model of climate and the economy (DICE) through the lens of growth theory. We analytically show that this model features a continuum of saddle‐point stable steady states.
Thomas Steger, Timo Trimborn
wiley +1 more source
To Grandmother's House We Go: Informal Childcare and Female Labor Mobility
ABSTRACT We document how childcare costs and the location of extended family influence the labor supply and mobility of US women. Women return to their home locations immediately before fertility events, suggesting that informal childcare needs may motivate home migration. Women who live near their parents have lower child earnings penalties.
Garrett Anstreicher, Joanna Venator
wiley +1 more source
On Metric Choice in Dimension Reduction for Fréchet Regression
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale +3 more
wiley +1 more source
Abstract Many decision‐making processes are susceptible to errors and inconsistencies introduced by decision‐makers (DMs). The development of decision support systems (DSS) has brought about a way to guide DMs through complex decision scenarios. However, due to the complexity of the process, inconsistencies may still arise.
Evanielle Barbosa Ferreira +2 more
wiley +1 more source
Node and edge control strategy identification via trap spaces in Boolean networks. [PDF]
Cifuentes-Fontanals L +2 more
europepmc +1 more source
Monitoring panels of sparse functional data
Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta +2 more
wiley +1 more source
Random subspace-based ensemble classifier for high-dimensional data Using SPARK. [PDF]
Bhimineni VC, Senapati R.
europepmc +1 more source
A Note on Local Polynomial Regression for Time Series in Banach Spaces
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley +1 more source
Physical subspace identification for helicopters
Alt uzay esaslı sistem tanımlama yöntemi oldukça güçlü bir sistem tanımlama yöntemidir. Bu özelliği kendini kanıtlamış dikey izdüşüm ve alt uzayların kesişimi gibi doğrusal cebir yöntemleri ile QR ayrıştırması ve tekil değerlerine ayrıştırma gibi sayısal açıdan sağlam sayısal yöntemlerin kullanılmasından gelir.
openaire +1 more source

