Results 51 to 60 of about 5,967,034 (302)
Probability density estimation from optimally condensed data samples [PDF]
, 2003 The requirement to reduce the computational cost of evaluating a point probability density estimate when employing a Parzen window estimator is a well-known problem.
Chao, H., Girolami, M.
core +1 more source
Open PhysicsThe problem of parameter estimation in stochastic oscillators is considered using a decomposition of the transition probability density in terms of Hermite polynomials.
Ivanenko Dmytro, Pogorielov Rostyslav
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Nonparametric estimation of the transition density function for diffusion processes
Stochastic Processes and their ApplicationsWe assume that we observe $N$ independent copies of a diffusion process on a time-interval $[0,2T]$. For a given time $t$, we estimate the transition density $p_t(x,y)$, namely the conditional density of $X_{t + s}$ given $X_s = x$, under conditions on the diffusion coefficients ensuring that this quantity exists.
Comte, Fabienne, Marie, Nicolas
openaire +4 more sources
FEBS Letters, EarlyView.This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley +1 more source
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features Software
, 2022 Kernel density estimation (KDE) is one of the most widely used nonparametric density estimation methods. The fact that it is a memory-based method, i.e., it uses the entire training data set for prediction, makes it unsuitable for most current big data ...
Osorio, Juan F. +2 more
core +1 more source
EnergiesEnergy transition, as a crucial aspect of the country’s high-value-added economic development, involves the construction of an energy transition index system and empirical analysis using methods such as the entropy weighting method, kernel density ...
Peifang Tian, Zhiyuan Gao, Yu Hao
doaj +1 more source
Dynamics of Chinese Export Comparative Advantage: Analysis Based on RSCA Index
Journal of Mathematics, 2022 Based on RSCA index, using kernel density estimation, Markov chain transition probability matrix, and survival analysis method, this paper analyzes the dynamics of Chinese export comparative advantage from 2001 to 2020 and draws the following conclusions.
Li Wang, Tian-Le Sun, Zheng-Qun Cai
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Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.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
Materials Today QuantumQuantum probes offer a powerful platform for exploring environmental dynamics, particularly through their sensitivity to decoherence processes. In this work, we investigate the emergence of critical behavior in the estimation of the environmental memory ...
M. Cristina Rodríguez +2 more
doaj +1 more source