Smoluchowski processes and nonparametric estimation of functionals of particle displacement distributions from count data

DOI10.1214/23-aap1990arXiv2108.06954OpenAlexW3195810995MaRDI QIDQ6126802

Alexander Goldenshluger, Royi Jacobovic

Publication date: 10 April 2024

Published in: The Annals of Applied Probability (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2108.06954

zbMATH Keywords

generating functionskernel estimatorscovariance functionstationary processesnonparametric estimationSmoluchowski processes

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09) Special processes (60K99)

Cites Work

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• Some asymptotic results for the branching process with immigration
• Estimating an interaction parameter of an infinite particle system
• Estimation of the means in the branching process with immigration
• Estimation of the variances in the branching process with immigration
• On the estimation of the diffusion coefficient for multi-dimensional diffusion processes
• Correlation theory of stationary and related random functions. Volume I: Basic results
• Density fluctuation in Brownian motion and its significance in olfaction
• Estimating diffusion coefficients from count data: Einstein-Smoluchowski theory revisited
• Statistical inference for ergodic diffusion processes.
• The \(M/G/\infty\) estimation problem revisited
• Nonparametric estimation of scalar diffusions based on low frequency data
• Nonparametric density estimation from observations with multiplicative measurement errors
• Combinatorics of partial derivatives
• Stochastic Processes and Long Range Dependence
• Nonparametric estimation of the service time distribution in the M/G/∞ queue
• Some Aspects of the Emigration-Immigration Process
• Notes on “Estimation theory for growth and immigration rates in a multiplicative process”
• Estimating the law of randomly moving particles by counting
• Some aspects of the Smoluchowski process
• Non‐parametric Kernel Estimation of the Coefficient of a Diffusion
• Estimation theory for growth and immigration rates in a multiplicative process
• Generalised concentration fluctuations under diffusion equilibrium
• Stochastic Problems in Physics and Astronomy
• On estimating the diffusion coefficient: Parametric versus nonparametric.
• Dispersal density estimation across scales

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