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ORCIDComputational Statistics, Volume 41
Volume 41, Number 1, January 2026
- Shuying Wang
, Linyan Luo, Bo Zhao, Xinyu Liu:
Semiparametric analysis of the additive hazards model with dependent right-censored data. 1 - Atomsa Gemechu Abdisa, Yingchun Zhou, Yuqi Qiu:
Individualized treatment effect estimation with compromised adversarial nets. 2 - Mehdi Homayouni, Majid Jafari Khaledi, Esmaeil Najafi, Hormoz Sohrabi:
Generalized spatial beta models for skewed and bimodal proportion data. 3 - Tizheng Li, Ting Liu, Xiangyi Zhang:
Estimation and inference of high-dimensional partially linear spatial autoregressive models with linear constraints. 4 - Jussi Klemelä:
Tests and graphical tools for the comparison of time series predictors. 5 - William Cipolli III:
Fast MMPTs: a fast approximate sampler toward a mixture of multivariate Polya trees. 6 - Anja Zgodic, Ray Bai, Jiajia Zhang, Yuan Wang, Christopher Rorden, Alexander C. McLain:
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression. 7 - Yvette Feng, Andreas Artemiou, Qin Wang:
Smote enhanced cumulative moment estimation for sufficient dimension reduction. 8 - Gerd Wübbeler, Franko Schmähling, Manuel Marschall, Clemens Elster:
Deep learning based posterior sampling for high-dimensional linear inverse problems. 9 - Hyungjin Kim, Sungwan Bang, Jongkyeong Kang:
Simultaneous selection of knots and variables in additive models. 10 - Chaima Hmani, Abdelaziz Ghribi, Afif Masmoudi:
An extreme gradient boosted approach for predicting the number and size of auto insurance claims. 11 - Ami Sheth, Aaron Smith, Andrew J. Holbrook:
Sparse Bayesian multidimensional scaling(s). 12 - Yaxuan Zhao, Zhimeng Sun, Yuehan Yang:
A sparse estimate to varying-coefficient additive models for functional and longitudinal data. 13 - Xiangyu Shi, Xiangyang Xu, Ruiyuan Cao, Tianfa Xie:
Bayesian variable selection and estimation based on asymmetric squared loss in high dimensions. 14 - Wenyang Wang, Muxin Chen, Yuqiang Xu, Xiaojun Tong, Dongchu Sun, Chong He:
Bayesian multivariate smoothing spline approach for yield curve joint estimation across bond types. 15 - Ahmad Talafha:
Sparse functional data classification via Bayesian aggregation. 16 - Begüm Çigsar, Deniz Ünal:
Unveiling mortality dynamics: a novel mathematical framework across adulthood and aging. 17 - Essoham Ali, Adewale F. Lukman, Solym M. Manou-Abi:
Regularized estimation for right-censored zero-inflated poisson regression: methods and applications to health data. 18 - Lingling Zhang:
Introducing HYBRID and ENSEMBLE: novel nonconvex penalization strategies for robust variable selection under missing data. 19 - Lochana K. Palayangoda, Aziz Gafurov, Hon Keung Tony Ng:
Goodness-of-fit test procedures for degradation data. 20 - Sergio Camiz, Jean Jacques Denimal, Juana Ravines Ruiz:
Developments of complex principal component analysis for an exploratory study of Pacific winds and El Niño Southern Oscillation. 21 - Chiara Casoli, Luca Pedini:
Measuring spillovers and connectedness in gretl. 22 - Alexandre Brouste, Christophe Dutang, Lilit Hovsepyan, Tom Rohmer:
Fast inference in copula models with categorical explanatory variables using the one-step procedure. 23 - Qiyue Huang, Xiaoyi Wang, Xingwei Tong, Meng Li, Jianguo Sun:
Estimation of the change-point Cox proportional hazards model based on case-I interval-censored data. 24 - Daniel Horn, Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Carsten Jentsch:
The impact of random tree depth - a novel randomization process for ensemble methods. 25 - Paolo Chirico:
QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility models. 26
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last updated on 2026-01-23 00:09 CET by the dblp team
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