Works matching IS 00359254 AND DT 2024 AND VI 73 AND IP 4
Results: 14
Inverse set estimation and inversion of simultaneous confidence intervals.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 1082, doi. 10.1093/jrsssc/qlae027
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Exponential tilting for zero-inflated interval regression with applications to cyber security survey data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 1065, doi. 10.1093/jrsssc/qlae026
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Dynamic factor models for binary data in circular spaces: an application to the US Supreme Court.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 1042, doi. 10.1093/jrsssc/qlae025
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Bats monitoring: a classification procedure of bats behaviours based on Hawkes processes.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 1025, doi. 10.1093/jrsssc/qlae024
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A stochastic gradient relational event additive model for modelling US patent citations from 1976 to 2022.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 1008, doi. 10.1093/jrsssc/qlae023
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Semi-parametric Bayesian approach for population size estimation modelling the excess of singletons.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 990, doi. 10.1093/jrsssc/qlae022
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Estimating disease transmission in a closed population under repeated testing.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 972, doi. 10.1093/jrsssc/qlae021
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Testing for distributional structural change with unknown breaks: application to pricing crop insurance contracts.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 955, doi. 10.1093/jrsssc/qlae020
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A bi-endpoint expectation-maximisation algorithm for re-estimating sample size for the time-to-event endpoint under the blind condition.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 935, doi. 10.1093/jrsssc/qlae019
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Joint analysis of multivariate longitudinal, imaging, and time-to-event data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 921, doi. 10.1093/jrsssc/qlae018
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Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 902, doi. 10.1093/jrsssc/qlae017
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Generalized functional additive mixed models with (functional) compositional covariates for areal Covid-19 incidence curves.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 880, doi. 10.1093/jrsssc/qlae016
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Population-level task-evoked functional connectivity via Fourier analysis.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 857, doi. 10.1093/jrsssc/qlae015
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Bayesian modelling of effective and functional brain connectivity using hierarchical vector autoregressions.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2024, v. 73, n. 4, p. 835, doi. 10.1093/jrsssc/qlae014
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