Works matching IS 20491573 AND DT 2023 AND VI 12 AND IP 1
Results: 118
Observation‐driven exponential smoothing.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.642
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An asymptotically efficient closed‐form estimator for the Dirichlet distribution.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.640
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A comparative analysis of contractual risks in statistical consulting.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.639
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Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.637
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Significance of modes in the torus by topological data analysis.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.636
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Estimation of the ROC curve and the area under it with complex survey data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.635
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Non‐degenerate U‐statistics for data missing completely at random with application to testing independence.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.634
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A latent space accumulator model for response time: Applications to cognitive assessment data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.632
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Exact confidence intervals for the difference of two proportions based on partially observed binary data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.631
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Mediation analysis with latent factors using simultaneous group‐wise and parameter‐wise penalization.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.630
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On the dissipation of ideal Hamiltonian Monte Carlo sampler.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.629
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Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.628
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Determining the dimension of weighted inverse regression ensemble.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.627
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Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.626
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Persistently trained, diffusion‐assisted energy‐based models.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.625
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Nonparanormal graph quilting with applications to calcium imaging.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.623
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On the use of ordered factors as explanatory variables.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.624
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Asymptotic tail properties of Poisson mixture distributions.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.622
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Functional time series forecasting: Functional singular spectrum analysis approaches.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.621
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Modified trajectory fitting estimators for multi‐regime threshold Ornstein–Uhlenbeck processes.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.620
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Inference for joint quantile and expected shortfall regression.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.619
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Gaussian process regression and classification using International Classification of Disease codes as covariates.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.618
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Semi‐parametric generalized linear model for binomial data with varying cluster sizes.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.616
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Homogeneity of marginal distributions for a large number of populations.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.617
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A modified partial envelope tensor response regression.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.615
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An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.614
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On pairwise interaction multivariate Pareto models.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.613
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New penalty in information criteria for the ARCH sequence with structural changes.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.612
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Statistical inference and distributed implementation for linear multicategory SVM.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.611
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Score‐based test in high‐dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.610
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An asymptotic threshold of sufficient randomness for causal inference.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.609
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Conditional mixture modelling for heavy‐tailed and skewed data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.608
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CoxKnockoff: Controlled feature selection for the Cox model using knockoffs.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.607
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Appropriate use of parametric and nonparametric methods in estimating regression models with various shapes of errors.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.606
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Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.605
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Density regression and uncertainty quantification with Bayesian deep noise neural networks.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.604
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An integral representation for inverse moments of multivariate random variables.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.603
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Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.602
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Optimal non‐circular designs for total effects under interference models.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.601
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A general approximation to nested Bayes factors with informed priors.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.600
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Dirichlet process mixture models using matrix‐generalized half‐ t distribution.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.599
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On the non‐identifiability of unified skew‐normal distributions.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.597
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Distance‐weighted discrimination for functional data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.598
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A trinomial difference autoregressive model and its applications.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.596
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Predicting fatigue from heart rate signatures using functional logistic regression.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.595
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Profile‐pseudo likelihood methods for community detection of multilayer stochastic block models.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.594
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Structure recovery and trend estimation for dynamic network analysis.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.593
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Selective pivot logratio coordinates for partial least squares discriminant analysis modelling with applications in metabolomics.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.592
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Normalized power priors always discount historical data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.591
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Trend filtering for functional data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.590
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