Optimal causal rate-constrained sampling for a class of continuous Markov processes

N Guo, V Kostina - IEEE Transactions on Information Theory, 2021 - ieeexplore.ieee.org
Consider the following communication scenario. An encoder observes a stochastic process
and causally decides when and what to transmit about it, under a constraint on the expected …

Estimating Gerber–Shiu functions from discretely observed Lévy driven surplus

Y Shimizu, Z Zhang - Insurance: Mathematics and Economics, 2017 - Elsevier
Consider an insurance surplus process driven by a Lévy subordinator, which is observed at
discrete time points. An estimator of the Gerber–Shiu function is proposed via the empirical …

[HTML][HTML] Robust model selection for a semimartingale continuous time regression from discrete data

K Victor, P Serguei - Stochastic processes and their applications, 2015 - Elsevier
The paper considers the problem of estimating a periodic function in a continuous time
regression model observed under a general semimartingale noise with an unknown …

[HTML][HTML] Density estimation for compound Poisson processes from discrete data

C Duval - Stochastic Processes and their Applications, 2013 - Elsevier
In this article we investigate the nonparametric estimation of the jump density of a compound
Poisson process from the discrete observation of one trajectory over [0, T]. We consider the …

Nonparametric estimation for the ruin probability in a Lévy risk model under low-frequency observation

Z Zhang, H Yang - Insurance: Mathematics and Economics, 2014 - Elsevier
In this paper, we propose a nonparametric estimator for the ruin probability in a spectrally
negative Lévy risk model based on low-frequency observation. The estimator is constructed …

Nonparametric implied Lévy densities

L Qin, V Todorov - 2019 - projecteuclid.org
Supplement to “Nonparametric implied Lévy densities”. The supplement contains the
following items:(1) limit results for the integrated squared error of the nonparametric …

Nonparametric inference for discretely sampled Lévy processes

S Gugushvili - Annales de l'IHP Probabilités et statistiques, 2012 - numdam.org
Given a sample from a discretely observed Lévy process X=(Xt) t≥ 0 of the finite jump
activity, the problem of nonparametric estimation of the Lévy density ρ corresponding to the …

[HTML][HTML] Adaptive nonparametric estimation for Lévy processes observed at low frequency

J Kappus - Stochastic Processes and their Applications, 2014 - Elsevier
This article deals with adaptive nonparametric estimation for Lévy processes observed at
low frequency. For general linear functionals of the Lévy measure, we construct kernel …

Spatial birth–death–move processes: Basic properties and estimation of their intensity functions

F Lavancier, R Le Guével - … the Royal Statistical Society Series B …, 2021 - academic.oup.com
Many spatiotemporal data record the time of birth and death of individuals, along with their
spatial trajectories during their lifetime, whether through continuous-time observations or …

High-frequency Donsker theorems for Lévy measures

R Nickl, M Reiß, J Söhl, M Trabs - Probability Theory and Related Fields, 2016 - Springer
Donsker-type functional limit theorems are proved for empirical processes arising from
discretely sampled increments of a univariate Lévy process. In the asymptotic regime the …