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ORCIDComputational Statistics, Volume 39
Volume 39, Number 1, February 2024
- Cathy W. S. Chen, Rosaria Lombardo, Enrico Ripamonti:
High-dimensional data analysis and visualisation. 1-2 - Massimo Aria
, Agostino Gnasso, Carmela Iorio, Giuseppe Pandolfo:
Explainable Ensemble Trees. 3-19 - Carlo Cavicchia, Pasquale Sarnacchiaro, Maurizio Vichi, Giorgia Zaccaria:
A model-based ultrametric composite indicator for studying waste management in Italian municipalities. 21-50 - Roy Cerqueti, Raffaele Mattera, Germana Scepi:
Multiway clustering with time-varying parameters. 51-92 - Mattia Cefis, Maurizio Carpita:
The higher-order PLS-SEM confirmatory approach for composite indicators of football performance quality. 93-116 - Cristina Davino, Giuseppe Lamberti, Domenico Vistocco:
Testing heterogeneity in quantile regression: a multigroup approach. 117-140 - Francesca Fortuna, Alessia Naccarato, Silvia Terzi:
Evaluating countries' performances by means of rank trajectories: functional measures of magnitude and evolution. 141-157 - Francesca Fortuna, Alessia Naccarato, Silvia Terzi:
Correction to: Evaluating countries' performances by means of rank trajectories: functional measures of magnitude and evolution. 159 - Maria Iannario, Alfonso Iodice D'Enza, Rosaria Romano:
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education. 161-179 - Michele La Rocca, Marcella Niglio, Marialuisa Restaino:
Bootstrapping binary GEV regressions for imbalanced datasets. 181-213 - Michele La Rocca, Marcella Niglio, Marialuisa Restaino:
Correction to: Bootstrapping binary GEV regressions for imbalanced datasets. 215 - Paolo Mariani, Andrea Marletta, Matteo Locci:
Missing values and data enrichment: an application to social media liking. 217-237 - Fabrizio Maturo, Rosanna Verde:
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers. 239-270 - Gianna Serafina Monti, Peter Filzmoser:
A robust knockoff filter for sparse regression analysis of microbiome compositional data. 271-288 - Marco Ortu, Luca Frigau, Giulia Contu:
Topic based quality indexes assessment through sentiment. 289-311 - Nayiri Galestian Pour, Soudabeh Shemehsavar:
Learning from high dimensional data based on weighted feature importance in decision tree ensembles. 313-342 - Violetta Simonacci, Michele Gallo:
On four-way CP model estimation efficiency. 343-362 - Amalia Vanacore, Maria Sole Pellegrino, Armando Ciardiello:
Fair evaluation of classifier predictive performance based on binary confusion matrix. 363-383
Volume 39, Number 2, April 2024
- Karima Elkimakh, Abdelaziz Nasroallah:
Hidden Markov model with missing emissions. 385-403 - Salvatore D. Tomarchio:
Matrix-variate normal mean-variance Birnbaum-Saunders distributions and related mixture models. 405-432 - Shreyashi Basak, Markus Pauly, Somesh Kumar:
Adaptive tests for ANOVA in Fisher-von Mises-Langevin populations under heteroscedasticity. 433-459 - László Kovács:
Feature selection algorithms in generalized additive models under concurvity. 461-493 - Lanyu Xiong, Fukang Zhu:
Robust estimation for the one-parameter exponential family integer-valued GARCH(1,1) models based on a modified Tukey's biweight function. 495-522 - Kiheiji Nishida, Kanta Naito:
Kernel density estimation by stagewise algorithm with a simple dictionary. 523-560 - Justino Santos, Romuere R. V. Silva, Luciano Oliveira, Washington L. C. dos-Santos, Nayze Aldeman, Angelo Amâncio Duarte, Rodrigo Veras:
Glomerulosclerosis detection with pre-trained CNNs ensemble. 561-581 - Angel G. Angelov, Magnus Ekström, Klarizze Anne Puzon, Agustin Arcenas, Bengt Kriström:
Quantile regression with interval-censored data in questionnaire-based studies. 583-603 - Tong Zeng:
Frequentist model averaging in the generalized multinomial logit model. 605-627 - Daniel Arreola, Luis V. Montiel:
Approximating income inequality dynamics given incomplete information: an upturned Markov chain model. 629-651 - Zhi Li, Zhiming Li:
Computer algorithms of lower-order confounding in regular designs. 653-676 - Shima Pirmohammadi, Hamid Bidram:
Applications of resampling methods in multivariate Liu estimator. 677-708 - Yan Song, Wenlin Dai:
Deterministic subsampling for logistic regression with massive data. 709-732 - Roberto P. Baragona, Francesco Battaglia, Domenico Cucina:
A simple portmanteau test with data-driven truncation point. 733-749 - Ye Fan, Nan Lin, Liqun Yu:
Distributed quantile regression for longitudinal big data. 751-779 - Philip D. Waggoner:
A batch process for high dimensional imputation. 781-802 - Ferdinand Bollwein:
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction. 803-834 - Nikola Stefelová, Javier Palarea-Albaladejo, Karel Hron, Ales Gába, Jan Dygrýn:
Compositional PLS biplot based on pivoting balances: an application to explore the association between 24-h movement behaviours and adiposity. 835-863 - Gajendra K. Vishwakarma, Amod Kumar, Neelesh Kumar:
Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute. 865-890 - Rahul Mukerjee:
Improving upon the effective sample size based on Godambe information for block likelihood inference. 891-904 - Sobom M. Somé, Célestin C. Kokonendji, Smail Adjabi, Naushad A. Mamode Khan, Said Beddek:
Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths. 905-937 - Fengqin Tang, Cuixia Li, Chungning Wang, Yi Yang, Xuejing Zhao:
A comprehensive framework for link prediction in multiplex networks. 939-961 - Boquan Cheng, Rogemar S. Mamon:
Examining the identifiability and estimability of the phase-type ageing model. 963-1004 - Pablo Martínez-Camblor, Susana Díaz-Coto:
Reducing the overfitting in the gROC curve estimation. 1005-1022 - Yajie Tian, Wenhao Gui:
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data. 1023-1060
Volume 39, Number 3, May 2024
- Caizhu Huang, Xia Cui, Euloge Clovis Kenne Pagui:
Two-sample mean vector projection test in high-dimensional data. 1061-1091 - Jiangzhou Wang, Pengfei Wang:
Large-scale dependent multiple testing via hidden semi-Markov models. 1093-1126 - Michael Stephanou, Melvin M. Varughese:
hermiter: R package for sequential nonparametric estimation. 1127-1163 - Yuanqing Zhang, Chunrong Ai, Yaqin Feng:
Threshold effect in varying coefficient models with unknown heteroskedasticity. 1165-1181 - Yuanqi Chu, Keming Yu:
Bayesian log-linear beta-negative binomial integer-valued Garch model. 1183-1202 - Ivan Svetunkov, Nikolaos Kourentzes, Rebecca Killick:
Multi-step estimators and shrinkage effect in time series models. 1203-1239 - Dean Dustin, Bertrand S. Clarke, Jennifer Clarke:
Predictive stability criteria for penalty selection in linear models. 1241-1280 - Yang Yang, Lichun Wang:
A non-iteration Bayesian sampling algorithm for robust seemingly unrelated regression models*. 1281-1300 - Fang Chen, Qiuchen Hai, Min Wang:
Bayesian hypothesis testing for equality of high-dimensional means using cluster subspaces. 1301-1320 - Manuel Marschall, Gerd Wübbeler, Franko Schmähling, Clemens Elster:
Generative models and Bayesian inversion using Laplace approximation. 1321-1349 - Fatemeh Bahador, Ayyub Sheikhi, Alireza Arabpour:
A two-stage Bridge estimator for regression models with endogeneity based on control function method. 1351-1370 - Xiaohui Yuan, Xinran Zhang, Wei Guo, Qian Hu:
An adapted loss function for composite quantile regression with censored data. 1371-1401 - Feng Qian, Rong Chen, Ling Wang:
Generalized ridge shrinkage estimation in restricted linear model. 1403-1416 - Henrique Aparecido Laureano, Ricardo Rasmussen Petterle, Guilherme Parreira da Silva, Paulo Justiniano Ribeiro Junior, Wagner Hugo Bonat:
A multinomial generalized linear mixed model for clustered competing risks data. 1417-1434 - Alejandro Román Vásquez, José Ulises Márquez Urbina, Graciela González-Farías, Gabriel Escarela:
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure. 1435-1458 - Bishal Diyali, Devendra Kumar, Sukhdev Singh:
Discriminating between log-normal and log-logistic distributions in the presence of type-II censoring. 1459-1483 - Xin Wang:
Clustering of longitudinal curves via a penalized method and EM algorithm. 1485-1512 - Septian Rahardiantoro, Wataru Sakamoto:
Spatio-temporal clustering analysis using generalized lasso with an application to reveal the spread of Covid-19 cases in Japan. 1513-1537 - Xiaonan Zhu, Zheng Wei, Tonghui Wang, S. T. Boris Choy, Ziwei Ma:
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model. 1539-1558 - Tianzhen Wang, Haixiang Zhang, Liuquan Sun:
Renewable learning for multiplicative regression with streaming datasets. 1559-1586 - Xiaomeng Ju, Matías Salibián Barrera:
Tree-based boosting with functional data. 1587-1620 - Vincent Brault, Antoine Channarond:
Fast and consistent algorithm for the latent block model. 1621-1657 - Jieun Lee, Gyuhyeong Goh:
A hybrid deterministic-deterministic approach for high-dimensional Bayesian variable selection with a default prior. 1659-1681 - Liugen Xue:
Empirical likelihood and estimation in varying coefficient models with right censored data. 1683-1707
Volume 39, Number 4, June 2024
- Stanislav Zámecník, Ivana Horová, Stanislav Katina, Kamila Hasilová:
An adaptive method for bandwidth selection in circular kernel density estimation. 1709-1728 - Hongpeng Yuan, Sijia Xiang, Weixin Yao:
A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions. 1729-1746 - Kévin Elie-Dit-Cosaque, Véronique Maume-Deschamps:
Random forest based quantile-oriented sensitivity analysis indices estimation. 1747-1777 - Hassan Maatouk, Didier Rullière, Xavier Bay:
Sampling large hyperplane-truncated multivariate normal distributions. 1779-1806 - Jun Sun, Mingtao Zhao, Ning Li, Jing Yang:
Rank estimation for the function-on-scalar model. 1807-1823 - Michael Levine, Gildas Mazo:
A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure. 1825-1846 - Deru Kong, Shengli Zhao, Wenwu Wang:
Nonparametric derivative estimation with bimodal kernels under correlated errors. 1847-1865 - Mathias von Ottenbreit, Riccardo De Bin:
Automatic piecewise linear regression. 1867-1907 - Rachid Kharoubi, Abdallah Mkhadri, Karim Oualkacha:
High-dimensional penalized Bernstein support vector classifier. 1909-1936 - Emily Chia-Yu Su, Han-Ming Wu:
Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach. 1937-1969 - Fan Yang, Yuehan Yang:
A sparse estimate based on variational approximations for semiparametric generalized additive models. 1971-1992 - Baihua He, Di Xia, Yingli Pan:
High dimensional controlled variable selection with model-X knockoffs in the AFT model. 1993-2009 - Yang Yang, Yanjiao Yang, Lichun Wang:
Sparse estimation of linear model via Bayesian method*. 2011-2038 - Larissa C. Alves, Ronaldo Dias, Helio dos Santos Migon:
Variational Bayesian Lasso for spline regression. 2039-2064 - Luis E. Nieto-Barajas, Ricardo Hoyos-Argüelles:
Generalised Bayesian sample copula of order m. 2065-2082 - Pavithra Hariharan, P. G. Sankaran:
Semiparametric regression modelling of current status competing risks data: a Bayesian approach. 2083-2108 - Subhankar Dutta, Sanku Dey, Suchandan Kayal:
Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data. 2109-2155 - Niansheng Tang, Fan Liang, Depeng Jiang:
Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints. 2157-2181 - Yeming Lei, Shijie Zhou, Jerzy A. Filar, Nan Ye:
Multi-pass Bayesian estimation: a robust Bayesian method. 2183-2216 - Habiba Khatun, Manas Ranjan Tripathy:
Point and interval estimation of quantiles of several exponential populations with a common location under progressive censoring scheme. 2217-2257 - Yemao Xia, Jinye Chen, Depeng Jiang:
Variational Bayesian analysis for two-part latent variable model. 2259-2290 - Kouhei Nishi, Takeshi Kurosawa, Nobuyuki Ozeki:
Dominance of posterior predictive densities over plug-in densities for order statistics in exponential distributions. 2291-2321 - Wenxing Guo, Xueying Zhang, Bei Jiang, Linglong Kong, Yaozhong Hu:
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis. 2323-2341 - M. S. Panwar, Vikas Barnwal, Chandra Prakash Yadav:
A latent variable approach for modeling recall-based time-to-event data with Weibull distribution. 2343-2374 - Keyao Wang, Huiwen Wang, Shanshan Wang, Lihong Wang:
Variable selection for multivariate functional data via conditional correlation learning. 2375-2412
Volume 39, Number 5, July 2024
- Xuewei Cheng, Gang Li, Hong Wang:
The concordance filter: an adaptive model-free feature screening procedure. 2413-2436 - Saeid Pooladsaz, Mahboobeh Doosti-Irani:
An algorithm for generating efficient block designs via a novel particle swarm approach. 2437-2449 - David Mogalle, Philipp Seufert, Jan Schwientek, Michael Bortz, Karl-Heinz Küfer:
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization. 2451-2478 - Yawen Fan, Xiaohui Liu, Yang Cao, Shaochu Liu:
Jackknife empirical likelihood based diagnostic checking for Ar(p) models. 2479-2509 - Kemmawadee Preedalikit, Daniel Fernández, Ivy Liu, Louise McMillan, Marta Nai Ruscone, Roy Costilla:
Row mixture-based clustering with covariates for ordinal responses. 2511-2555 - Ricardo Teles Freitas, Kelson Rômulo Teixeira Aires, Anselmo Cardoso de Paiva, Rodrigo M. S. Veras, Pedro L. M. Soares:
A CNN-based multi-level face alignment approach for mitigating demographic bias in clinical populations. 2557-2579 - Han Li, Zijian Liu, Kai Yang, Xiaogang Dong, Wenshan Wang:
A pth-order random coefficients mixed binomial autoregressive process with explanatory variables. 2581-2604 - Yahia S. El-Horbaty:
A Monte Carlo permutation procedure for testing variance components in generalized linear regression models. 2605-2621 - Ghislain Verdier:
Goodness-of-fit procedure for gamma processes. 2623-2650 - Zhaoyu Xing, Yang Wan, Juan Wen, Wei Zhong:
GOLFS: feature selection via combining both global and local information for high dimensional clustering. 2651-2675 - Hieu Huynh-Van, Tuan Lehoang, Tai Vo-Van:
Classifying for images based on the extracted probability density function and the quasi Bayesian method. 2677-2701 - Marta Ferreira:
Extremal index: estimation and resampling. 2703-2720 - Zeinab Akbari Ghamsari, Ehsan Zamanzade, Majid Asadi:
Using nomination sampling in estimating the area under the ROC curve. 2721-2742 - Suvra Pal, Yingwei Peng, Wisdom Aselisewine:
A new approach to modeling the cure rate in the presence of interval censored data. 2743-2769 - Christoph Striegel, Jonas Biehler, Göran Kauermann:
Weighted high dimensional data reduction of finite element features: an application on high pressure of an abdominal aortic aneurysm. 2771-2789 - Mohamed Sief, Xinsheng Liu, Abd El-Raheem Mohamed Abd El-Raheem:
Inference for a constant-stress model under progressive type-II censored data from the truncated normal distribution. 2791-2820 - Daniel Rojas-Diaz, Alexandra Catano-Lopez, Carlos M. Velez, Santiago Ortiz, Henry Laniado:
Confidence sub-contour box: an alternative to traditional confidence intervals. 2821-2858 - Heiko Rachinger, Edward M. H. Lin, Henghsiu Tsai:
A bootstrap test for threshold effects in a diffusion process. 2859-2872 - Luca Greco, George Luta, Rand R. Wilcox:
On testing the equality between interquartile ranges. 2873-2898
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