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ORCIDStatistics and Computing, Volume 35
Volume 35, Number 1, February 2025
- Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Shyam Mohan Subbiah Pillai
, Raúl Tempone:
Multilevel importance sampling for rare events associated with the McKean-Vlasov equation. 1 - Yawen Zhao, Mingzhe Zhang, Chenhao Zhang, Weitong Chen, Nan Ye, Miao Xu:
A boosting framework for positive-unlabeled learning. 2 - Qiang Heng, Kenneth Lange:
Bootstrap estimation of the proportion of outliers in robust regression. 3 - Alex Stringer:
Exact gradient evaluation for adaptive quadrature approximate marginal likelihood in mixed models for grouped data. 4 - Gabriel Turinici:
Huber-energy measure quantization. 5 - Robert L. Bassett, Micah Y. Oh:
Estimating a signal subspace in the presence of impulsive noise. 6 - Hassan Maatouk, Didier Rullière, Xavier Bay:
Large-scale constrained Gaussian processes for shape-restricted function estimation. 7 - Rachel Carrington, Paul Fearnhead:
Improving power by conditioning on less in post-selection inference for changepoints. 8 - Christian P. Robert, Julien Stoehr:
Simulating signed mixtures. 9 - Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart:
Gaussian measures conditioned on nonlinear observations: consistency, MAP estimators, and simulation. 10 - Jacopo Di Iorio, Marzia A. Cremona, Francesca Chiaromonte:
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores. 11 - Arved Bartuska, Luis Espath, Raúl Tempone:
Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty. 12 - Guanghui Cheng, Wenjuan Hu, Ruitao Lin, Chen Wang:
Online robust estimation and bootstrap inference for function-on-scalar regression. 13 - Sijin He, Xiaochao Xia:
Random perturbation subsampling for rank regression with massive data. 14 - Lili Li, Bingfan Liu, Xiaodi Liu, Haolun Shi, Jiguo Cao:
Optimal subsampling for generalized additive models on large-scale datasets. 15 - Robert Altmann, Afsaneh Moradi:
Probabilistic time integration for semi-explicit PDAEs. 16 - Esmail Abdul Fattah, Janet van Niekerk, Håvard Rue:
INLA+: approximate Bayesian inference for non-sparse models using HPC. 17 - Zhongqi Liang, Li Cai, Suojin Wang, Qihua Wang:
K-fold cross-validation based frequentist model averaging for linear models with nonignorable missing responses. 18 - Luiza S. C. Piancastelli, Rodrigo B. Silva:
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach. 19 - Siu-Kui Au:
A limit formula and recursive algorithm for multivariate Normal tail probability. 20 - Luiza S. C. Piancastelli, Nial Friel:
The clustered Mallows model. 21 - Minwoo Kim, Marc G. Genton, Raphaël Huser, Stefano Castruccio:
A neural network-based adaptive cut-off approach to normality testing for dependent data. 22 - Akira Okazaki, Shuichi Kawano:
Multi-task learning via robust regularized clustering with non-convex group penalties. 23 - Nan Qiao, Canyi Chen, Zhengtian Zhu:
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach. 24
Volume 35, Number 2, April 2025
- Yang Liu, Pengfei Li, Yukun Liu:
Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models. 25 - Yujing Shao, Lei Wang, Heng Lian:
Optimal distributed subsampling under heterogeneity. 26 - Michail Tsagris:
Constrained least squares simplicial-simplicial regression. 27 - Junzhuo Gao, Lei Wang, Haiying Wang:
Power enhancing probability subsampling using side information. 28 - Florian B. Hinz, Amr H. Mahmoud, Markus A. Lill:
An analysis of the modality and flexibility of the inverse stereographic normal distribution. 29 - Zhimin Hong, Ruoxuan Wang, Zhiwen Wang, Wala Du:
Inference issue in multiscale geographically and temporally weighted regression. 30 - Shanshan Qin, Zhenni Tan, Weidong Wei, Yuehua Wu:
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data. 31 - Ziang Zhang, Patrick E. Brown, Jamie Stafford:
Efficient modeling of quasi-periodic data with seasonal Gaussian process. 32 - Vivian Yi-Ju Chen, Shi-Ting Wang:
Geographically weighted quantile regression for count Data. 33 - Zhaoran Hou, Samuel W. K. Wong:
Particle Gibbs for likelihood-free inference of stochastic volatility models. 34 - Chen Zhong:
Statistical inference and goodness-of-fit test in functional data via error distribution function. 35 - Sofia Guglielmini, Gerda Claeskens:
Asymptotic post-selection inference for regularized graphical models. 36 - Yidan Wang, Lingyun Zhang, Yujie Gai:
Real-time inference for smoothing quantile regression on streaming datasets with heterogeneity detection. 37 - Mingao Yuan, Qianqian Yao:
Testing common degree-correction parameters of multilayer networks. 38 - Victor H. Lachos, Salvatore D. Tomarchio, Antonio Punzo, Salvatore Ingrassia:
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data. 39 - Yuan Bian, Grace Y. Yi, Wenqing He:
Empirical investigations of boosting with pseudo-outcome imputation for missing responses. 40 - Rayleigh Lei, Abel Rodriguez:
Logit unfolding choice models for binary data. 41 - Shifan Jia, Haolun Shi, Tianyu Guan:
Function-on-function regression models with nonlinear dynamic effect and linear concurrent effect. 42 - Paul Bach, Nadja Klein:
Anisotropic multidimensional smoothing using Bayesian tensor product P-splines. 43 - Haosheng Shi, Wenlin Dai:
Exploratory analysis of dynamic networks using latent functions. 44 - Yanzhao Wang, Yaohua Zhang, Jian Zou, Nalini Ravishanker:
Online structural break detection in financial durations. 45 - Jiarui Zhang, Jiguo Cao, Liangliang Wang:
Robust Bayesian functional principal component analysis. 46 - María Xosé Rodríguez-Álvarez, Vanda Inácio, Nadja Klein:
Density regression via Dirichlet process mixtures of normal structured additive regression models. 47 - Pierpaolo D'Urso, Livia De Giovanni, Lorenzo Federico, Vincenzina Vitale:
Fuzzy K-expectiles clustering. 48 - Bidhan Modok, Shovan Chowdhury, Amarjit Kundu:
Control charts for monitoring Weibull quantile under generalized hybrid and progressive censoring schemes. 49 - S. Columbu, N. Piras, Jeroen K. Vermunt:
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM. 50 - Michail Tsagris, Panagiotis Papastamoulis, Shogo Kato:
Directional data analysis: spherical Cauchy or Poisson kernel-based distribution? 51 - Giuseppina Albano, Antonio Barrera, Virginia Giorno, Francisco Torres-Ruiz:
Inference on diffusion processes related to a general growth model. 52 - Timofei Biziaev, Karen A. Kopciuk, Thierry Chekouo:
Using prior-data conflict to tune Bayesian regularized regression models. 53 - Michael Grabchak, Sina Saba:
On approximations of subordinators in Lp and the simulation of tempered stable distributions. 54
Volume 35, Number 3, June 2025
- Alessio Farcomeni:
Exact score and information matrix for panel hidden semi-Markov models. 55 - Oliver R. A. Dunbar, Nicholas H. Nelsen, Maya Mutic:
Hyperparameter optimization for randomized algorithms: a case study on random features. 56 - Jing Lv, Chaohui Guo:
Robust ℓ 2,0-penalized rank regression for high-dimensional group selection. 57 - Lorenzo Rimella, Chris Jewell, Paul Fearnhead:
Simulation based composite likelihood. 58 - Xinmin Li, Hua Liang, Huihang Liu, Tingting Tong, Tian Xie:
Frequentist model averaging under a linear exponential loss. 59 - Huiqiong Li, Lu Luo, Wenting Liu, Min Wang, Niansheng Tang:
Variational Bayesian analysis for joint models of longitudinal and failure time data with interval censoring. 60 - Ke Yu, Xu Guo, Shan Luo:
Group inference for high-dimensional mediation models. 61 - Qiao Liang, Xinwei Deng:
A multifacet hierarchical sentiment-topic model with application to multi-brand online review analysis. 62 - Ibrahim Nabeel Joudah, Samuel Müller, Houying Zhu:
Air-HOLP: adaptive regularized feature screening for high dimensional correlated data. 63 - Björn Sprungk, Simon Weissmann, Jakob Zech:
Metropolis-adjusted interacting particle sampling. 64 - Steven D. Barnett, Lauren J. Beesley, Annie S. Booth, Robert B. Gramacy, Dave Osthus:
Monotonic warpings for additive and deep Gaussian processes. 65 - Philipp Reiser, Javier Enrique Aguilar, Anneli Guthke, Paul-Christian Bürkner:
Uncertainty quantification and propagation in surrogate-based Bayesian inference. 66 - Tingting Zhan, Misung Yi, Amy R. Peck, Hallgeir Rui, Inna Chervoneva:
Estimation and model selection for finite mixtures of Tukey's g- &-h distributions. 67 - Anjana Wijayawardhana, David Gunawan, Thomas Suesse:
Variational Bayes inference for simultaneous autoregressive models with missing data. 68 - Joseph Rilling, Cheng Yong Tang:
A new p-value based multiple testing procedure for generalized linear models. 69 - Katie Buchhorn, Kerrie L. Mengersen, Edgar Santos-Fernández, James M. McGree:
Bayesian design for sampling anomalous spatio-temporal data. 70 - Xiaoyu Liu, Liming Xiang:
Bayesian analysis of doubly semiparametric mixture cure models with interval-censored data. 71 - Jin Liu, Wei Ma, Lei Wang, Heng Lian:
Sparse and debiased Lasso estimation and statistical inference for long time series via divide-and-conquer. 72 - Jichen Yang, Lei Wang, Heng Lian:
Debiased transfer learning estimation and inference for multinomial regression. 73 - Roberta Paroli, Dimitris Fouskakis, Ioannis Ntzoufras:
Fast bayesian variable screening using correlation thresholds. 74 - Joshua Corneck, Edward A. K. Cohen, James S. Martin, Francesco Sanna Passino:
Online Bayesian changepoint detection for network Poisson processes with community structure. 75 - Xu Guo, Hongwei Shi, Weichao Yang, Yiyuan Qian, Niwen Zhou:
Semiparametric efficient estimation of genetic relatedness with machine learning methods. 76 - Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl:
Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model. 77 - Shanshan Qin, Zhenni Tan, Dongwei Wei, Yuehua Wu:
Correction: PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data. 78 - Ruonan Cheng, Xiuqing Zhou:
Efficient estimation for varying coefficient modal regression. 79 - Rebecca M. Hurwitz, Georg Hahn:
Penalized principal component analysis using smoothing. 80
Volume 35, Number 4, August 2025
- Daniele Zago, Giovanna Capizzi, Peihua Qiu:
An improved bisection-type algorithm for control chart calibration. 81 - Shibin Zhang:
Wiener-type integral approximation for sampling distributions of irregularly spaced spatial data. 82 - Alex Rodrigo dos S. Sousa, Mauricio Zevallos:
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise. 83 - Lars Knieper, Torsten Hothorn, Elisabeth Bergherr, Colin Griesbach:
Gradient boosting for generalised additive mixed models. 84 - Yannis G. Yatracos:
Learning from data's evolution in normal equations: the DECK-principle and equations' adjustment. 85 - Xinran Chen, Jingxiao Zhang, Rou Zhong:
Nonlinear principal component analysis for two-dimensional functional data using neural networks. 86 - Eric Yanchenko:
Graph sub-sampling for divide-and-conquer algorithms in large networks. 87 - Qianqian Liu, Zhouping Li:
Distributed empirical likelihood inference with privacy guarantees. 88
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