Bayesian nonparametric inference for the overlap coefficient: With an application to disease diagnosis
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DOI: 10.1002/sim.9480
Abstract: Diagnostic tests play an important role in medical research and clinical practice. The ultimate goal of a diagnostic test is to distinguish between diseased and nondiseased individuals and before a test is routinely used in… read more here.
Keywords: bayesian nonparametric; overlap coefficient; coefficient; inference overlap ... See more keywords
Uniform nonparametric inference for time series
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DOI: 10.1016/j.jeconom.2019.09.011
Abstract: Abstract This paper provides the first result for the uniform inference based on nonparametric series estimators in a general time-series setting. We develop a strong approximation theory for sample averages of mixingales with dimensions growing… read more here.
Keywords: time series; nonparametric inference; series; uniform nonparametric ... See more keywords
Bayesian nonparametric inference for heterogeneously mixing infectious disease models
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2118425119
Abstract: Significance Mathematical models of infectious disease transmission continue to play a vital role in understanding, mitigating, and preventing outbreaks. The vast majority of epidemic models in the literature are parametric, meaning that they contain inherent… read more here.
Keywords: nonparametric inference; transmission; inference heterogeneously; infectious disease ... See more keywords
An R Package for Nonparametric Inference on Dynamic Populations with Infinitely Many Types
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DOI: 10.1089/cmb.2024.0600
Abstract: Fleming–Viot diffusions are widely used stochastic models for population dynamics that extend the celebrated Wright–Fisher diffusions. They describe the temporal evolution of the relative frequencies of the allelic types in an ideally infinite panmictic population,… read more here.
Keywords: inference dynamic; nonparametric inference; inference; package nonparametric ... See more keywords
NONPARAMETRIC INFERENCE FOR MARKOV PROCESSES WITH MISSING ABSORBING STATE.
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DOI: 10.5705/ss.202017.0175
Abstract: This paper deals with the issue of nonparametric estimation of the transition probability matrix of a non-homogeneous Markov process with finite state space and partially observed absorbing state. We impose a missing at random assumption… read more here.
Keywords: nonparametric inference; inference markov; missing absorbing; state ... See more keywords