Found: 27
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Development of network‐guided transcriptomic risk score for disease prediction.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.648
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A confidence machine for sparse high‐order interaction model.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.633
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Image registration for zooming: A statistically consistent local feature mapping approach.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.664
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Softplus negative binomial network autoregression.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.638
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An EWMA sign chart for monitoring processes with fixed and variable sample sizes.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.652
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Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.653
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Developing partnerships for academic data science consulting and collaboration units.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.644
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What matters to graduate students? Experiences at a statistical consulting center from pre‐ to post‐COVID‐19 pandemic.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.659
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Highly private large‐sample tests for contingency tables.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.658
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Ordered probit Bayesian additive regression trees for ordinal data.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.643
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A note about why deep learning is deep: A discontinuous approximation perspective.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.654
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Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.646
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Machine collaboration.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.661
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New bounds and search for maximin distance U‐type designs.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.650
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D$$ D $$‐optimal designs for multi‐response linear models with two groups.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.665
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Linear mixed models for complex survey data: Implementing and evaluating pairwise likelihood.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.657
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Equivalence testing for multiple groups.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.645
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Some benefits of standardisation for conditional extremes.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.647
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Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.660
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Differentially private outcome‐weighted learning for optimal dynamic treatment regime estimation.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.641
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Estimation of the density for censored and contaminated data.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.651
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Reducing the statistical error of generative adversarial networks using space‐filling sampling.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.655
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Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.667
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Table inference for combinatorial origin‐destination choices in agent‐based population synthesis.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.656
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Optimal designs for crossover model with partial interactions.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.668
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Deep learning models to predict primary open‐angle glaucoma.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.649
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Issue Information.
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- Stat, 2024, v. 13, n. 1, p. 1, doi. 10.1002/sta4.586
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- Article