Results 131 to 140 of about 94,222 (207)
Flexible Use of Limited Resources for Sequence Working Memory in Macaque Prefrontal Cortex. [PDF]
Li S +5 more
europepmc +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
ESPLSM: An Efficient and Interpretable Mediation Analysis Framework Using Sparse Envelopes. [PDF]
Park Y, Su Z.
europepmc +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
Xuran Meng and Yi Li's contribution to the Discussion of "On optimal linear prediction" by I. Helland. [PDF]
Meng X, Li Y.
europepmc +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
Measuring Stimulus Information Transfer Between Neural Populations Through the Communication Subspace. [PDF]
Weiss O, Coen-Cagli R.
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
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

