Works matching IS 03036898 AND DT 2019 AND VI 46 AND IP 2
Results: 13
Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix‐variate location mixture of normal distributions.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 636, doi. 10.1111/sjos.12383
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A stochastic process approach to multilayer neutron detectors.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 621, doi. 10.1111/sjos.12374
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Hierarchical marginal models with latent uncertainty.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 595, doi. 10.1111/sjos.12366
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Estimation of treatment effects for heterogeneous matched‐pairs data with probit models.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 575, doi. 10.1111/sjos.12363
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Bayesian inference for stable Lévy–driven stochastic differential equations with high‐frequency data.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 545, doi. 10.1111/sjos.12362
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Score estimation in the monotone single‐index model.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 517, doi. 10.1111/sjos.12361
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Inference for ergodic diffusions plus noise.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 470, doi. 10.1111/sjos.12360
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A smoothed Q‐learning algorithm for estimating optimal dynamic treatment regimes.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 446, doi. 10.1111/sjos.12359
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The large sample coverage probability of confidence intervals in general regression models after a preliminary hypothesis test.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 432, doi. 10.1111/sjos.12358
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An additive–multiplicative mean model for panel count data with dependent observation and dropout processes.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 414, doi. 10.1111/sjos.12357
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Automated selection of post‐strata using a model‐assisted regression tree estimator.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 389, doi. 10.1111/sjos.12356
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On the asymptotic non‐equivalence of efficient‐GMM and MEL estimators in models with missing data.
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- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. 361, doi. 10.1111/sjos.12354
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Issue Information.
- Published in:
- Scandinavian Journal of Statistics, 2019, v. 46, n. 2, p. N.PAG, doi. 10.1111/sjos.12346
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- Article