Results 181 to 190 of about 1,441,771 (239)

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

The Spirituality-Resilience-Happiness Triad: A High-Powered Model for Understanding University Student Well-Being. [PDF]

Eur J Investig Health Psychol Educ
Reyes-Perez MD, Carreño Saucedo L, Sanchez-Levano MJ, Cabanillas-Palomino R, Monje-Yovera PF, Jaime-Rodríguez JP, Atoche-Silva LA, Alarcón-Bustíos JM, Fernández-Altamirano AEF.   +8 more
europepmc   +1 more source

Dynamic survival risk prediction with time‐varying high‐dimensional images

Canadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu, Haolun Shi, Shu Jiang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jiguo Cao, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +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

Hash functions in nucleotide sequence analysis. [PDF]

Genome Res
Chen K, Li X, Shi Q, Shao M, Medvedev P.
europepmc   +1 more source

Optimal subsampling for regression with mixed‐type predictors

Canadian Journal of Statistics, EarlyView.
Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley   +1 more source

Stochastic SIRS models on networks: mean and variance of infection. [PDF]

Infect Dis Model
Chen T, Liu G, Jin Z.
europepmc   +1 more source

On fixed points and convergence results of sequences generated by uniformly convergent and point-wisely convergent sequences of operators in Menger probabilistic metric spaces. [PDF]

Springerplus, 2016
De la Sen M, Ibeas A, Herrera J.
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

Spacetop: A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks. [PDF]

Sci Data
Jung H, Amini M, Hunt BJ, Murphy EI, Sadil P, Halchenko YO, Petre B, Miao Z, Kragel PA, Han X, Heilicher MO, Sun M, Collins OG, Lindquist MA, Wager TD.   +14 more
europepmc   +1 more source