Flexoelectricity and the fluctuations of (active) living cells: Implications for energy harvesting, ion transport, and neuronal activity. [PDF]
Khandagale P, Liu L, Sharma P.
europepmc +1 more source
Fluctuation-dissipation theorem and radiative heat transfer in nonlinear Kerr media
Chinmay Khandekar +3 more
openalex +1 more source
Quantum violation of fluctuation-dissipation theorem [PDF]
Akira Shimizu, Kyota Fujikura
openalex +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
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
Experimentally separating vacuum fluctuations from source radiation. [PDF]
Herter A +4 more
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
Predicting forced responses of probability distributions via the fluctuation-dissipation theorem and generative modeling. [PDF]
Giorgini LT, Falasca F, Souza AN.
europepmc +1 more source
A penalised model reproducing the mod-Poisson fluctuations in the Sathe-Selberg theorem [PDF]
Barhoumi-Andr\'eani, Yacine
openalex
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

