Results 101 to 110 of about 1,669,943 (280)
In this paper, we discuss the point and interval estimates of the parameters from Weibull distribution based on adaptive Type-II progressively hybrid censored data in constant-stress accelerated life test using maximum likelihood estimation (MLE) methods
Wei Cui, Zaizai Yan, Xiuyun Peng
doaj +1 more source
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
Bayesian Inference of Burr Type VIII Distribution Based on Censored Samples
This paper is concerned with estimation of the parameter of Burr type VIII distribution under a Bayesian framework using censored samples. The Bayes estimators and associated risks have been derived under the assumption of five priors and three loss ...
Navid Feroz
doaj +1 more source
Bioinspired passive flow routing mitigates thrombosis in cardiovascular devices by redirecting a small fraction of forward flow into stagnation‐prone regions. Inspired by avian alula and aircraft slat mechanisms, strategically placed routing channels restore washout around mechanical heart valves, reducing low‐shear exposure by four orders of magnitude
Yevgeniy Kreinin +8 more
wiley +1 more source
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
On the Stability of Bayes Estimators for Gaussian Processes. [PDF]
Consider a Gaussian signal process \(X=(X_ t)\) observed in the presence of an additive Gaussian noise process \(N=(N_ t)\) for t in [0,T]. The paper is concerned with the behaviour of the Bayes estimator \(\delta_ 0\) under departures from Gaussian law by the prior or noise processes. The problem of choosing a suitable contamination model is discussed.
openaire +2 more sources
Frequent sweetened beverage consumption is associated with accelerated biological aging in a large Chinese population. Five gut microbial genera are consistently enriched in both frequent sweetened beverage consumers and individuals with accelerated aging and show significant mediating effects, suggesting a potential microbiota‐related pathway linking ...
Yuwei Shi +14 more
wiley +1 more source
Wavelet Estimation of an Unknown Function Observed with Correlated Noise [PDF]
In many practical applications of nonparametric regression, it is desirable to allow for the possibility that the noise is correlated. In this paper, we focus on wavelet-based nonparametric function estimation and propose two distinct methods for ...
Wang, Xue +2 more
core +1 more source
Approximate Bayes Estimation for Log-Dagum Distribution
In this article, the approximate Bayes estimationproblem for the log-Dagum distribution with three parameters is considered.Firstly, the maximum likelihood estimators and asymptotic confidence intervalsbased on these estimators for unknown parameters of ...
Caner Tanış +2 more
doaj +1 more source
Adaptive Cu Reconstruction in Heterostructure Drives High‐Rate Nitrate‐to‐Ammonia Conversion
An adaptively reconstructed Cu/CoOX heterojunction, featuring a surface‐localized, hydroxyl‐rich oxidized Cu species, forms in situ from a CuO/CoOX (Co1Cu9OX) pre‐catalyst during electrochemical nitrate reduction. The self‐adaptive reconstruction and the incorporation of heterostructure regulate nitrogen‐containing intermediate adsorption and *H supply,
Chunyu Yuan +5 more
wiley +1 more source

