Statistical Inference for Renewal Processes
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Publication:4637096
DOI10.1111/sjos.12295zbMath1468.62332OpenAlexW2616320290MaRDI QIDQ4637096
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Publication date: 17 April 2018
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/sjos.12295
Density estimation (62G07) Non-Markovian processes: estimation (62M09) Markov renewal processes, semi-Markov processes (60K15)
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Cites Work
- Nonparametric estimation of the division rate of an age dependent branching process
- Nonparametric estimation of a renewal reward process from discrete data
- Bayesian estimation for a parametric Markov renewal model applied to seismic data
- Product-limit estimators of the gap time distribution of a renewal process under different sampling patterns
- Slope heuristics: overview and implementation
- On the optimal rates of convergence for nonparametric deconvolution problems
- Estimation and efficiency with recurrent event data under informative monitoring
- Nonparametric estimation in renewal processes
- Estimation for renewal processes with unobservable gamma or Erlang interarrival times
- Nonparametric estimation and consistency for renewal processes
- Adaptive Laguerre density estimation for mixed Poisson models
- Density estimation for compound Poisson processes from discrete data
- Nonparametric density estimation in compound Poisson processes using convolution power estimators
- A ridge-parameter approach to deconvolution
- A kernel type nonparametric density estimator for decompounding
- Estimation in stationary Markov renewal processes, with application to earthquake forecasting in Turkey
- Nonparametric estimation in a multiplicative censoring model with symmetric noise
- Combining kernel estimators in the uniform deconvolution problem
- Nonparametric function estimation under Fourier-oscillating noise
- What is a Sobolev space for the Laguerre function systems?
- Multiplicative censoring, renewal processes, deconvolution and decreasing density: Nonparametric estimation
- Nonparametric estimation of renewal processes from count data
- Density estimation in the uniform deconvolution model
- Adaptive Deconvolution on the Non‐negative Real Line
- Laplace Deconvolution on the Basis of Time Domain Data and its Application to Dynamic Contrast-Enhanced Imaging
- Deconvolution from Fourier-oscillating error densities under decay and smoothness restrictions
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