Results 171 to 180 of about 30,884 (295)
All energy matters Let us broaden the discussion on solutions to climate change. Greenhouse gases have upset the delicate equilibrium of the Earth's energy balance. Consequently, all sources of heat affect the temperature of the Earth. Although the amount of additional heat generated by humans is a fraction of that produced by the sun, it is generated ...
Martin Bertau +2 more
wiley +1 more source
GLOBAL VERSIONS OF THE CENTRAL LIMIT THEOREM [PDF]
openaire +2 more sources
Restricted Tweedie stochastic block models
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
Rank‐based estimation of propensity score weights via subclassification
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang +3 more
wiley +1 more source
Variances and covariances in the Central Limit Theorem for the output of a transducer.
Heuberger C, Kropf S, Wagner S.
europepmc +1 more source
Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP
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
Multitype SIR epidemics among a population partitioned into households with proportionate global mixing. [PDF]
Ball F, Critcher L.
europepmc +1 more source
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
Asymptotic properties of cross‐classified sampling designs
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
Integrating preliminary test and Stein-type techniques to improve estimation in the time-dependent Cox model. [PDF]
Ramezani R, Rabiei MR, Arashi M.
europepmc +1 more source

