[PDF] Top 20 Branching stable point processes
Has 10000 "Branching stable point processes" found on our website. Below are the top 20 most common "Branching stable point processes".
Branching stable point processes
... general branching operation on counting measures which unifies all notions considered so far: discrete stable and F -stable integer random variables, thinning-stable and F -stable ... See full document
27
Calculating hazard rates of introgression with branching processes
... populations, where the probability of interaction between hybrid lineages can be ignored. In that case, an introgression event corresponds to the initiation of a per- manently introgressed lineage. In finite populations ... See full document
91
An investigation of cognitive 'branching' processes in major depression
... An interesting finding was the change in the patients mood throughout the course of the branching experi- ment. They showed both an increase in positive affect and a decrease in negative affect, compared to ... See full document
9
Model Diatom Population by Branching Stochastic Processes
... capable of dividing and every particle is of zero age at birth, that is to say G (0)=G (0+)=0. In this case of right continuity at the zero point of the d.f., the multidimensional g.f. is more suitable for ... See full document
6
Numerical approximation of general Lipschitz BSDEs with branching processes
... • The accuracy of the estimation of the expectations appearing in our algorithm. We compute the empirical standard deviation θ associated to each Monte Carlo estimation of the expectation in (21). We try to fix the ... See full document
21
Asymptotic Analysis of the parton branching equation at LHC Energies
... However, an exact solution including all the processes in equation 1 has never been derived. In this paper, an asymptotic solution is obtained using the method of Laplace transformation and the saddle point ... See full document
8
Modified dynamic set point weighted controller for various sampling period
... set point weighted PI ( FSWPI) and ZNPI exhibit equally poor load ...set point weighted PI controller (DSPWPI) shows better response than FSPWPI and ZNPI but only for very low sampling ...an point ... See full document
8
Random ultrametric trees and applications*
... same point in time, simply called the present time, these trees are said ultrametric, which means that all the leaves of the tree lie at the same graph distance from the ...theoretical point of view, a tree ... See full document
20
On expected durations of birth death processes with applications to branching processes and SIS epidemics
... population processes of a birth-death type, for example, branching processes and epidemic processes (with infection and recovery corresponding to birth and death, respectively), is what effect ... See full document
17
Insertion and deletion tolerance of point processes
... x ∈ [R] ∩ [0, 1) d : kx − M(x)k ≤ r . (1.3) As in [9], let X be a random variable with probability measure P ∗ and expectation operator E ∗ such that P ∗ (X ≤ r) = F(r) for all r ≥ 0 . One may interpret X as the distance ... See full document
25
A Bayesian approach to inferring vascular tree structure from 2D imagery
... Møller Perfect Metropolis-Hastings simulation of locally stable point processes.. Møller Perfect implementation of a Metropolis-Hastings simulation of Markov point processes 349: with Y.[r] ... See full document
13
Max-stable processes for threshold exceedances in spatial extremes
... Max-stable processes have been developed as a class of stochastic processes suitable for studying spatial ...max-stable processes was by de Haan [1984], and Smith [1990] has constructed ... See full document
91
Ventilation systems failure prediction on the basis of the stochastic branching processes mathematical model
... stochastic branching processes that allow us to successfully solve this problem by distributing the technical parameters of assembly units to degradation groups in ... See full document
7
Mean field games based on the stable-like processes
... to stable and stable- like processes, as well as their various modifications like tempered stable-like processes or their mixtures with ... See full document
63
Advances in the Theory of Determinantal Point Processes
... determinantal point processes on finite sets and consider how the same class of processes can be defined on more general ...α-determinantal processes on second countable locally compact ... See full document
79
SCANPY: large scale single cell gene expression data analysis
... S CANPY ’s Python-based implementation allows easy interfacing to advanced machine-learning packages such as T ENSORFLOW [9] for deep learning [42], L IMIX for linear mixed models [43], and GP Y /GP FLOW for Gaus- sian ... See full document
5
Approximate Inference for Determinantal Point Processes
... To give additional insight into situations where such subsets are desired, we list here examples of how common applications are typically cast in the subset selection mold: • Product recommendation (McSherry, 2002; ... See full document
164
Estimation of Additive Error in Mixed Spectra for Stable Processes
... where 1 < α < 2 and ξ is a complex valued symmetric α-stable random measure on R with independent and isotropic increments. The measure defined by m(A) = |ξ (A)| α α (see Masry and Cambanis, 1984) is called ... See full document
16
Survival models for censored point processes
... Hougaard 1987 gives a good overview of the analysis of multivariate survival data, and also discusses some aspects of recurrent event data in the form of counts, and Poisson mixture mode[r] ... See full document
239
Galactosyltransferase 4 is a major control point for glycan branching in N linked glycosylation
... of branching, or antennarity, give rise to differential biological activities for single ...glycan branching and glycosylation network is ...glycan branching in nascent proteins, we glycoengineered a ... See full document
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