Results 81 to 90 of about 2,633 (230)

Prosocial behaviour in primary and secondary school students. Effects of the CYBUPRE intervention

open access: yesBritish Educational Research Journal, EarlyView.
Abstract Prosocial behaviour is regarded as a critical factor in reducing aggressive behaviours among peers, both in physical settings and virtual spaces. This variable facilitates the enhancement of social relationships, promoting empathy, deep listening, physical and verbal service, and even solidarity, among other benefits.
Mercedes Chicote‐Beato   +3 more
wiley   +1 more source

Advances in causal discovery methods for ecological time series

open access: yesBiological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki   +6 more
wiley   +1 more source

Restricted Tweedie stochastic block models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Ternary structures in Hilbert spaces

open access: yes, 2011
PhDTernary structures in Hilbert spaces arose in the study of in nite dimensional manifolds in di erential geometry. In this thesis, we develop a structure theory of Hilbert ternary algebras and Jordan Hilbert triples which are Hilbert spaces equipped
Bahmani, Fatemeh
core  

Theory of perturbatively nonlinear quantum transport I: general formulation and structure of the retarded correlator

open access: yes, 2022
This article is the first of a trilogy that addresses various aspects of the perturbative response of general quantum systems, with possibly nontrivial ground state geometry, beyond linear order.
Manchon, Aurelien, Bonbien, Varga
core  

Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang   +5 more
wiley   +1 more source

Why the Big Bang Singularity does not Help the Kalam Cosmological Argument for Theism [PDF]

open access: yes, 2007
The Big Bang singularity provides little or no evidence for creation in the finite past and hence for theism. Whether one dismisses singularities or takes them seriously, physics licenses no first moment of (space-)time.
Pitts, J. Brian
core  

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne   +2 more
wiley   +1 more source

General superspace Abelian gauge transformations isomorphic to groups of spacetime tetrad Lorentz transformations in four-dimensional Lorentzian flat spacetimes.

open access: yes, 2016
We have already proved in previous works that all the local internal gauge groups of transformations associated to the Standard Model are isomorphic to local groups of spacetime tetrad transformations.
Garat, Alcides
core   +1 more source

Asymptotic properties of cross‐classified sampling designs

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

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