Results 61 to 70 of about 8,782 (264)
Notes on Cauchy–Stieltjes Kernel Families
The free Meixner family (FMF) is the family of measures that produces quadratic Cauchy–Stieltjes Kernel (CSK) families (i.e., meaning that the associated variance function (VF) is a polynomial with degree ≤2 in the mean).
Shokrya S. Alshqaq+2 more
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On the Statistical Analysis of the Harmonic Signal Autocorrelation Function
The article presents new tools for investigating the statistical properties of the harmonic signal autocorrelation function (ACF). These tools enable identification of the ACF estimator errors in measurements in which the triggering of the measurements ...
Sienkowski Sergiusz, Krajewski Mariusz
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Lower bounds for variances of Poisson functionals
Lower bounds for variances are often needed to derive central limit theorems. In this paper, we establish a lower bound for the variance of Poisson functionals that uses the difference operator of Malliavin calculus. Poisson functionals, i.e. random variables that depend on a Poisson process, are frequently studied in stochastic geometry.
Schulte, Matthias, Trapp, Vanessa
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Tauber Theory for Infinitely Divisible Variance Functions [PDF]
We study a notion of Tauber theory for infinitely divisible natural exponential families, showing that the variance function of the family is (bounded) regularly varying if and only if the canonical measure of the Levy-Khinchine representation of the family is (bounded) regularly varying.
Bent Jørgensen+3 more
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Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Regression Function and Noise Variance Tracking Methods for Data Streams with Concept Drift
Two types of heuristic estimators based on Parzen kernels are presented. They are able to estimate the regression function in an incremental manner. The estimators apply two techniques commonly used in concept-drifting data streams, i.e., the forgetting ...
Jaworski Maciej
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Making tau amyloid models in vitro: a crucial and underestimated challenge
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
When the computational point is approaching the poles, the variance and covariance formulae of the disturbing gravity gradient tensors tend to be infinite, and this is a singular problem.
Liu Xiaogang+3 more
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Toll‐like receptors (TLRs) are important in the innate immune system. This study explores the zinc‐binding ability of the TLR2 TIR domain (TLR2TIR). We found that TLR2TIR binds zinc with nanomolar affinity through its cysteine residues. Two of them, C673 and C713, are vital for receptor activation, indicating that zinc may play a role in initiating ...
Vladislav A. Lushpa+8 more
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In Random Regression models (RRM), the most updated version of Test Day (TD) models, the lactation curve is split into a fixed average curve and a random animal specific part (deviation from the average curve) (Schaeffer, 2004). The variance component of
A. Cappio-Borlino+2 more
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