Results 51 to 60 of about 2,586,878 (296)
Adjusted Versions of Profile Likelihood and Directed Likelihood, and Extended Likelihood
SUMMARY Several adjusted and invariant versions of profile likelihood and of directed likelihood (short for signed log-likelihood ratio) are discussed. These adjusted versions, which fall into two groups, are closely related to modified profile likelihood and modified directed likelihood.
openaire +3 more sources
An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa +3 more
wiley +1 more source
Adjustments of profile likelihood through predictive densities
Estimative predictive density, Modified profile likelihood, Nuisance parameter, Predictive pivot, Profile likelihood, Second-order asymptotics,
Alessandra Salvan +5 more
core +1 more source
Likelihood for statistically equivalent models [PDF]
In likelihood inference we usually assume that the model is fixed and then base inference on the corresponding likelihood function. Often, however, the choice of model is rather arbitrary, and there may be other models which fit the data equally well. We
Copas, John B. +3 more
core +1 more source
Uncertainty components in profile likelihood fits
When a measurement of a physical quantity is reported, the total uncertainty is usually decomposed into statistical and systematic uncertainties. This decomposition is not only useful for understanding the contributions to the total uncertainty, but is ...
Andrés Pinto +7 more
doaj +1 more source
Information Bias and Adjusted Profile Likelihoods
SUMMARY The bias and information bias of the ordinary profile score statistic are both typically of order O(1). Several additive adjustments to the profile score statistic that reduce its bias to order O(n −1) have been proposed. In certain situations, the information bias of these adjusted profile score statistics is also reduced to ...
DiCiccio, Thomas J. +3 more
openaire +2 more sources
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Determination of Neutron Star Radius from Pulse Profile Modeling Using Profile Likelihood
In recent years, NICER data have been extensively used to determine neutron star masses and radii via pulse profile modeling. Pulse profile modeling is implemented with the X-PSI package, and the best-fit parameters are typically obtained using Bayesian ...
Vyaas Ramakrishnan, Shantanu Desai
doaj +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source

