Results 251 to 260 of about 568,969 (316)

Structure-Based Identification of Natural Inhibitors Targeting the Gc Glycoprotein of Oropouche Virus: An In Silico Approach. [PDF]

Int J Mol Sci
Vargas-Echeverría C, Saurith-Coronell O, Rodriguez-Macías J, Márquez Brazón EA, Mora JR, Fuentes-Gandara F, Paz JL, Salazar F.   +7 more
europepmc   +1 more source

Compound Poisson process approximation under β-mixing and stabilization

The Annals of Applied Probability, 2023
We establish Poisson and compound Poisson approximations for stabilizing statistics of $\beta$-mixing point processes and give explicit rates of convergence.
Nicolas Chenavier, Moritz Otto
semanticscholar   +5 more sources

Some of the next articles are maybe not open access.

Related searches:

Compound Poisson Process

Stochastic Processes with R, 2022
O. Korosteleva
semanticscholar   +2 more sources

Fatigue Crack Assessment for Orthotropic Steel Deck Based on Compound Poisson Process

, 2020
This study presents a crack propagation stochastic process model for orthotropic steel deck (OSD) based on the structural health monitoring (SHM) data.
Haiping Zhang, Yang Liu, Yang Deng
semanticscholar   +1 more source

The Poisson Process, Compound Poisson Process, and Poisson Random Field

2021
Poisson processes broadly refer to stochastic processes that are the result of counting occurrences of some random phenomena (points) in time or space such that occurrences of points in disjoint regions are statistically independent, and counts of two or more occurrences in an infinitesimally small region are negligible.
Rabi Bhattacharya, Edward C. Waymire
openaire   +1 more source

Empirical Likelihood for Compound Poisson Processes

Australian & New Zealand Journal of Statistics, 2012
SummaryLet {N(t), t > 0} be a Poisson process with rate λ > 0, independent of the independent and identically distributed random variables with mean μ and variance . The stochastic process is then called a compound Poisson process and has a wide range of applications in, for example, physics, mining, finance and risk management.
Li, Z., Wang, X., Zhou, W.
openaire   +2 more sources

A Modified Compound Poisson Process with Normal Compounding

Journal of the American Statistical Association, 1968
The compound Poisson process in which the compounding variables are normally distributed is considered as a special case of a slightly more general process. The model is suggested for studying the behavior of security prices in the stock market.
S. J. Press
semanticscholar   +2 more sources

COMPARISON OF APPROXIMATIONS FOR COMPOUND POISSON PROCESSES

ASTIN Bulletin, 2015
AbstractIn this paper, we compare the error in several approximation methods for the cumulative aggregate claim distribution customarily used in the collective model of insurance theory. In this model, it is usually supposed that a portfolio is at risk for a time period of length t.
Choirat, C., SERI, RAFFAELLO
openaire   +3 more sources

Risk processes connected with the compound poisson process

Scandinavian Actuarial Journal, 1969
Abstract A portfolio of casualty insurances is usually very heterogeneous due to the wide spread of the individual risks also in case the policies are grouped according to risk classes. Stochastic models assuming identical risks for all policies in the risk class—e.g, the simple Poisson distribution—are not generally applicable to such a portfolio. For
Jung, Jan, Lundberg, Ove
openaire   +2 more sources

Compound Poisson-Processes

1991
One motivation for the model we develop in this chapter is provided by the atmospheric-noise data shown in Fig. 1.3. It is evident that a point process model can account for the occurrence times of the pulses. However, these times alone do not reflect all of the significant features. The amplitudes of the pulses exhibit wide variation and have a strong
Donald L. Snyder, Michael I. Miller
openaire   +1 more source