Results 121 to 130 of about 50,725 (251)

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Spatial Autocorrelation Dimension (<i>D_i</i> ) for the Characterisation of Atrial Fibrillatory Dynamics. [PDF]

Arrhythm Electrophysiol Rev
Tiver KD, Dharmaprani D, Ganesan AN.
europepmc   +1 more source

Regression Tree Analysis for Stream Biological Indicators Considering Spatial Autocorrelation. [PDF]

Int J Environ Res Public Health, 2021
Kim MY, Lee SW.
europepmc   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Cohort-Scale Spatial Autocorrelation for Tumor Prediction in Mid-Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics. [PDF]

Adv Sci (Weinh)
Rittel MF, Ebert N, Abu Sammour D, Graf S, Fröhlich BC, Birgin E, Mohammed SA, Rahbari NN, Wellmann A, Wasenmüller O, Weis CA, Schmidt S, Hopf C.   +12 more
europepmc   +1 more source

Power spectral density and the brain

Canadian Journal of Statistics, EarlyView.
Abstract Time series from M/EEG (magneto/electroencephalography) and ECoG (electrocorticography) recordings are common sources of information about brain function. The power spectral density (PSD) preserves much of this information, up to second order. In the current decade, a burst of brain diagnostics using the slope of log(PSD) has appeared.
Priscilla E. Greenwood, Sveinung Erland, Lawrence M. Ward   +2 more
wiley   +1 more source

Characterization and estimation of heterogeneous spatial autocorrelation in spatial autoregressive models. [PDF]

PLoS One
Zhao J, Pu Y.
europepmc   +1 more source

Homophily‐adjusted social influence estimation

Canadian Journal of Statistics, EarlyView.
Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley   +1 more source

Effects of Landscape Compositional Heterogeneity and Spatial Autocorrelation on Environmental Niche and Dispersal in Simulated Organisms. [PDF]

Ecol Evol
Tardanico J, Hovestadt T.
europepmc   +1 more source

The Influence of Drosophila Spire and Myosin V During Mid‐Oogenesis Is Independent of Their Direct Interaction

Cytoskeleton, EarlyView.
ABSTRACT Cooperativity between cytoskeletal proteins is crucial for spatiotemporal coordination in biological processes, like oogenesis. In mammalian and Drosophila oogenesis, proper assembly and function of actin networks require coordination between actin assembly factors Spire and formins, as well as actin‐associated proteins like myosins and Rab ...
Joseph Y. Ong, Hannah M. Bailey, Emma Carley, Michelle Panzica, Merin Rixen, Neil Billington, Rong Liu, Margot E. Quinlan   +7 more
wiley   +1 more source