Results 11 to 20 of about 691,827 (296)
Testing Cross-Sectional Correlation in Large Panel Data Models with Serial Correlation
This paper considers the problem of testing cross-sectional correlation in large panel data models with serially-correlated errors. It finds that existing tests for cross-sectional correlation encounter size distortions with serial correlation in the ...
Badi H. Baltagi, Chihwa Kao, Bin Peng
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Heteroskedasticity, temporal and spatial correlation matter
As economic time series or cross sectional data are typically affected by serial correlation and/or heteroskedasticity of unknown form, panel data typically contains some form of heteroskedasticity, serial correlation and/or spatial correlation ...
Ladislava Grochová, Luboš Střelec
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Theoretical studies suggest that temporal covariation among and temporal autocorrelation within demographic rates are important features of population dynamics.
Rémi Fay +4 more
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Monte Carlo simulation is performed with uniformly distributed U(0,1) pseudo-random numbers. Because the numbers are generated from a mathematical formula, they will contain some serial correlation, even if very small.
Dennis Ridley, Pierre Ngnepieba
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This study aimed to investigate movement accuracy of experienced cellists, the statistical properties of their note sequences during a reciprocal task, and the degree to which these movement characteristics depend on auditory feedback.
Jessie eChen +3 more
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Canonical relations between intelligence and aggressiveness [PDF]
Relation between results obtained from 25 tests for estimation of efficiency of perceptual, serial and parallel processor and 8 tests that estimate different modalities of aggressiveness, were analyzed under the biorthogonal model of canonical ...
Savićević Dušan M.
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Inter-regional correlation estimators for functional magnetic resonance imaging
Functional magnetic resonance imaging (fMRI) functional connectivity between brain regions is often computed using parcellations defined by functional or structural atlases. Typically, some kind of voxel averaging is performed to obtain a single temporal
Sophie Achard +4 more
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tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models
The R package tscount provides likelihood-based estimation methods for analysis and modeling of count time series following generalized linear models. This is a flexible class of models which can describe serial correlation in a parsimonious way.
Tobias Liboschik +2 more
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Background: Pre-symptomatic transmission can be a key determinant of the effectiveness of containment and mitigation strategies for infectious diseases, particularly if interventions rely on syndromic case finding. For COVID-19, infections in the absence
Yang Liu +3 more
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Tuning perception and decisions to temporal context
Summary: Recent work suggests that serial dependence, where perceptual decisions are biased toward previous stimuli, arises from the prior that sensory input is temporally correlated.
Philippe Blondé +2 more
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