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ORCIDComputational Statistics & Data Analysis, Volume 174
Volume 174, October 2022
- Mengyan Li, Yanyuan Ma, Jiwei Zhao
:
Efficient estimation in a partially specified nonignorable propensity score model. 107322
- Fatemeh Ghaderinezhad, Christophe Ley, Ben Serrien:
The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics. 107352
- Whitney K. Huang, Yu-Min Chung, Yu-Bo Wang, Jeff E. Mandel, Hau-Tieng Wu:
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression. 107384 - S. Faye Williamson, Peter Jacko, Thomas Jaki:
Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses. 107407 - Guilllermo Granados-Garcia, Mark Fiecas, Babak Shahbaba, Norbert Fortin, Hernando C. Ombao:
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels. 107409 - Laura Codazzi, Alessandro Colombi, Matteo Gianella, Raffaele Argiento, Lucia Paci, Alessia Pini:
Gaussian graphical modeling for spectrometric data analysis. 107416 - Duc-Khanh To, Gianfranco Adimari, Monica Chiogna:
Estimation of the volume under a ROC surface in presence of covariates. 107434
- Raffaello Seri:
Computing the asymptotic distribution of second-order U- and V-statistics. 107437
- Sayantan Banerjee:
Horseshoe shrinkage methods for Bayesian fusion estimation. 107450 - Jonathan Embleton, Marina I. Knight, Hernando C. Ombao:
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment. 107456 - Youngjoo Cho, Xiang Zhan, Debashis Ghosh:
Nonlinear predictive directions in clinical trials. 107476
- Joris Chau, Rainer von Sachs:
Time-varying spectral matrix estimation via intrinsic wavelet regression for surfaces of Hermitian positive definite matrices. 107477
- Martial Amovin-Assagba, Irène Gannaz, Julien Jacques:
Outlier detection in multivariate functional data through a contaminated mixture model. 107496 - David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim:
Improved linear regression prediction by transfer learning. 107499 - Xizhen Cai, Yeying Zhu, Yuan Huang, Debashis Ghosh:
High-dimensional causal mediation analysis based on partial linear structural equation models. 107501 - Santu Ghosh, Wenge Guo, Samiran Ghosh:
A hierarchical testing procedure for three arm non-inferiority trials. 107521 - Takumi Uemoto, Kanta Naito:
Support vector regression with penalized likelihood. 107522
- Peili Li, Yuling Jiao, Xiliang Lu, Lican Kang:
A data-driven line search rule for support recovery in high-dimensional data analysis. 107524
- David Degras, Chee-Ming Ting, Hernando C. Ombao:
Markov-switching state-space models with applications to neuroimaging. 107525 - Shonosuke Sugasawa, Genya Kobayashi:
Robust fitting of mixture models using weighted complete estimating equations. 107526 - Eleonora Arnone, Federico Ferraccioli, Clara Pigolotti, Laura M. Sangalli:
A roughness penalty approach to estimate densities over two-dimensional manifolds. 107527
- Shikun Wang, Zhao Li, Lan Lan, Jieyi Zhao, W. Jim Zheng, Liang Li:
GPU accelerated estimation of a shared random effect joint model for dynamic prediction. 107528
- Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski:
Likelihood-free inference with deep Gaussian processes. 107529 - Qingcong Yuan, Xianyan Chen, Chenlu Ke, Xiangrong Yin:
Independence index sufficient variable screening for categorical responses. 107530
- D. Austin Cole, Robert B. Gramacy, Mike Ludkovski:
Large-scale local surrogate modeling of stochastic simulation experiments. 107537
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