中国学者近期发表的论文
Fairness via independence: a (conditional) distance covariance framewor
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10874-0
Empirical likelihood test for the mean with inequality constraints under strong mixing high-frequency dat
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10876-y
Learning social relationships: a network embedding-based approach for community detection via cosine-similarit
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10873-1
Online survival analysis with quantile regressio
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10870-4
Online learning for high-dimensional single-index model with streaming dat
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10861-5
Transfer learning for joint mean and variance mode
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10862-4
Estimation in the Cox proportional hazards model with missing not at random failure indicator
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10857-1
Differential evolution variants for searching D- and A-optimal designs for nonlinear models in the bioscienc
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10833-9
A multi-stage data collection strategy using uniform design based sequential design
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10860-6
Computationally efficient likelihood-based estimation and variable selection for the Cox model with incomplete covariate
Journal: STATISTICS AND COMPUTING. 2026; Vol. 36, Issue 3, pp. -. DOI: 10.1007/s11222-026-10849-1
高引用文章
Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation
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Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates
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Bayesian nonparametric spectral density estimation using B-spline priors
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Resample-smoothing of Voronoi intensity estimators
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On coupling particle filter trajectories
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Bayesian nonparametric clustering for large data sets
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The stochastic topic block model for the clustering of vertices in networks with textual edges
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Penalized estimation of directed acyclic graphs from discrete data
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Automatic specification of piecewise linear additive models: application to forecasting natural gas demand
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A rare event approach to high-dimensional approximate Bayesian computation
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