Results 51 to 60 of about 1,063,535 (299)

Characterisation of a multivariate stochastic ordering [PDF]

Bulletin of the Australian Mathematical Society, 1988
The multivariate stochastic ordering induced by the convex nondecreasing functions compares a combination of size and variability of random vectors. Closely following methods developed by Strassen, we show that two probability measures are ordered in this way if and only if they are the marginals of some submartingale.
openaire   +1 more source

Stochastic orderings of multivariate elliptical distributions [PDF]

Journal of Applied Probability, 2021
AbstractFor two n-dimensional elliptical random vectors X and Y, we establish an identity for $\mathbb{E}[f({\bf Y})]- \mathbb{E}[f({\bf X})]$, where $f\,{:}\, \mathbb{R}^n \rightarrow \mathbb{R}$ satisfies some regularity conditions. Using this identity we provide a unified method to derive sufficient and necessary conditions for classifying ...
openaire   +4 more sources

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

The Supermodular Stochastic Ordering [PDF]

, 2013
In many economic applications involving comparisons of multivariate distributions, supermodularity of an objective function is a natural property for capturing a preference for greater interdependence. One multivariate distribution dominates another according to the supermodular stochastic ordering if it yields a higher expectation than the other for ...
Meyer, M, Strulovici, B
openaire   +4 more sources

‘Guide and Prejudice’— How Argonautes recognize targets across domains of life

FEBS Letters, EarlyView.
Argonaute proteins use short nucleic‐acid guides to locate and regulate specific targets across all domains of life. Despite striking diversity—from human gene silencing to bacterial immune defence—all Argonautes share a conserved three‐stage recognition logic: guide‐directed sampling, progressive target pairing with a conformational checkpoint and ...
Jack P. K. Bravo
wiley   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Transforming stochastic matrices for stochastic comparison with the st-order [PDF]

RAIRO - Operations Research, 2003
This paper deals with bounds on the steady state probability distributions of stochastic matrices, and gives a method of improving the bounds from their st-monotone upper bounding DTMC's.
Tugrul Dayar, Jean-Michel Fourneau, Nihal Pekergin   +2 more
openaire   +6 more sources

Small RNA pathways in mammalian oocytes

FEBS Open Bio, EarlyView.
Three distinct small RNA pathways operate in mammalian oocytes: RNAi interference (RNAi), the microRNA (miRNA) pathway, and the PIWI‐associated RNA (piRNA) pathway. These pathways use small RNAs to guide sequence‐specific repression and contribute to oocyte biology by targeting genes and mobile elements or appear insignificant since different ...
Petr Svoboda, Josef Pasulka
wiley   +1 more source

Stochastic comparisons of finite mixture models derived from distorted distributions: results based on vector and multivariate chain majorization approaches

Journal of Inequalities and Applications
In this paper, we focus on classical finite mixture models, which are widely used in modeling lifetime distributions for random samples arising from heterogeneous populations. We then develop results in two directions.
M. Shekari, Z. Pakdaman, G. Saadat Kia Barmalzan, N. Balakrishnan   +3 more
doaj   +1 more source

Computing the bounds on the loss rates [PDF]

Yugoslav Journal of Operations Research, 2002
We consider an example network where we compute the bounds on cell loss rates. The stochastic bounds for these loss rates using simple arguments lead to models easier to solve.
Fourneau J.-M., Mokdad L., Pekergin N.
doaj   +1 more source