Results 221 to 230 of about 1,618,670 (297)

Jackknife bias‐corrected variance estimation for the generalized regression estimator

Canadian Journal of Statistics, EarlyView.
Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
wiley   +1 more source

Rigorous Bound on Hydrodynamic Diffusion for Chaotic Open Spin Chains. [PDF]

J Stat Phys
Ampelogiannis D, Doyon B.
europepmc   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

High-Contrast Random Composites: Homogenisation Framework and Spectral Convergence. [PDF]

Commun Math Phys
Cherdantsev M, Cherednichenko K, Velčić I.   +2 more
europepmc   +1 more source

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

Background Vlasov equations and Young measures for passive scalar and vector advection equations under special stochastic scaling limits. [PDF]

Probab Theory Relat Fields
Butori F, Flandoli F, Luongo E, Tahraoui Y.   +3 more
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

Hypoellipticity of analytic differential operators in general ultradifferentiable classes. [PDF]

J Pseudodiffer Oper Appl
Fürdös S.
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

Spiking neural models for decision-making tasks with learning. [PDF]

J Math Biol
Jaffard S, Mezzadri G, Reynaud-Bouret P, Tanré E.   +3 more
europepmc   +1 more source