Results 91 to 100 of about 543,055 (305)
Contributions to the understanding of Bayesian consistency. [PDF]
Consistency of Bayesian nonparametric procedures has been the focus of a considerable amount of research. Here we deal with strong consistency for Bayesian density estimation. An awkward consequence of inconsistency is pointed out. We investigate reasons
Antonio Lijoi +2 more
core
Partial replication with strong consistency [PDF]
In response to the increasing expectations of their clients, cloud services exploit geo-replication to provide fault-tolerance, availability and low latency when executing requests.
Matos, Tiago André Envia
core
Strong consistencies of the bootstrap moments [PDF]
Let X be a real valued random variable with E|X|r+δ < ∞ for some positive integer r and real number, δ, 0 < δ ≤ r, and let {X, X1, X2, …} be a sequence of independent, identically distributed random variables. In this note, we prove that, for almost all w ∈ Ω, with probability 1.
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
Strong consistency for delta sequence ratios [PDF]
Almost sure convergence for ratios of delta functions establishes global and local strong consistency for a variety of estimates and data generations.
Weißbach, Rafael +1 more
core
Avoiding consistency exceptions under strong memory models
Shared-memory languages and systems generally provide weak or undefined semantics for executions with data races. Prior work has proposed memory consistency models that ensure well-defined, easy-to-understand semantics based on ...
Minjia Zhang +2 more
core +1 more source
Asymptotic Behaviors of Nearest Neighbor Kernel Density Estimator in Left-truncated Data [PDF]
Kernel density estimators are the basic tools for density estimation in non-parametric statistics. The k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in which the bandwidth is varied depending on the ...
V. Fakoor
doaj
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Strong Equivalence of Qualitative Optimization Problems
We introduce the framework of qualitative optimization problems (or, simply, optimization problems) to represent preference theories. The formalism uses separate modules to describe the space of outcomes to be compared (the generator) and the preferences
Stefan Woltran +5 more
core
pH‐mediated activation of the lysosomal arginine sensor SLC38A9
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley +1 more source

