Computational Statistics

2000 - 2025

Current editor(s): Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

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Volume 40, issue 8, 2025

SpICE: an interpretable method for spatial data pp. 4059-4079

Natalia da Silva, Ignacio Alvarez-Castro, Leonardo Moreno and Andrés Sosa

A new quantile regression model for bounded responses with applications pp. 4081-4113

Patrícia Stülp, Jorge Luis Bazán and Luis Hilmar Valdivieso Serrano

Modeling of long-term survival data with unobserved dispersion via neural network pp. 4115-4137

Led Red Teh, Vicente Garibay Cancho and Josemar Rodrigues

Iterative weighted LAD estimation with homoskedasticity testing using the Gini concentration index pp. 4139-4161

Ilaria Lucrezia Amerise

A novel hybrid framework for forecasting stock indices based on the nonlinear time series models pp. 4163-4186

Hasnain Iftikhar, Faridoon Khan, Elías A. Torres Armas, Paulo Canas Rodrigues and Javier Linkolk López-Gonzales

An improved preconditioned unsupervised K-means clustering algorithm pp. 4187-4207

Tiantian Sun, Xiaofei Peng, Wenxiu Ge and Weiwei Xu

Robust mixture of linear mixed modeling via multivariate Laplace distribution pp. 4209-4230

Xiongya Li, Xiuqin Bai and Weixing Song

Finding exclusive peak with permutation testing pp. 4231-4246

Rosa Arboretti, Elena Barzizza and Riccardo Ceccato

A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models pp. 4247-4275

Yuxin Zhang, Jie Liu and Yang Yang

Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior pp. 4277-4305

Nastaran Marzban Vaselabadi, Saeid Tahmasebi, Reza Mohammadi and Hamid Karamikabir

Towards black-box parameter estimation pp. 4307-4329

Amanda Lenzi and Haavard Rue

Network embedding for bipartite networks with applications in interlocking directorates in Chinese companies pp. 4331-4366

Yan Zhang, Rui Pan, Feifei Wang, Kuangnan Fang and Hansheng Wang

A latent class pattern mixture model for nonignorable nonresponses in multivariate categorical data pp. 4367-4397

Jungwun Lee, Margaret Lloyd Sieger and Jon D. Phillips

Misspecification-robust likelihood-free inference in high dimensions pp. 4399-4439

Owen Thomas, Raquel Sá-Leão, Hermínia Lencastre, Samuel Kaski, Jukka Corander and Henri Pesonen

The corrected likelihood approach for adjusting measurement error in Cox’s model pp. 4441-4474

Anu Susan George and G. Asha

FRODO: a novel approach to micro–macro multilevel regression pp. 4475-4514

Shaun McDonald, Alexandre Leblanc, Saman Muthukumarana and David Campbell

Linear-quadratic quantile regression model with a change point due to a threshold covariate pp. 4515-4564

Yan Chen, Caiyun Fan and Feipeng Zhang

A powerful penalized multinomial logistic regression approach pp. 4565-4587

Cornelia Fuetterer, Malte Nalenz, Thomas Augustin and Ruth M. Pfeiffer

DeepCENT: prediction of censored event time via deep learning pp. 4589-4605

Yichen Jia and Jong-Hyeon Jeong

Enhancing parameter estimation in finite mixture of generalized normal distributions pp. 4607-4634

Pierdomenico Duttilo and Stefano Antonio Gattone

Maximum likelihood estimation of parameters for double poisson regression: a simulation study pp. 4635-4673

Sebastian Appelbaum, Thomas Ostermann and Uwe Konerding

A simple and efficient method for sampling mixture models based on Dirichlet and Pitman-Yor processes pp. 4675-4716

Mame Diarra Fall and Éric Barat

Determining the uncertain boundaries of the diagnostics tests by using information criteria pp. 4717-4739

Ebru Ozturk, Ergun Karaagaoglu and Jale Karakaya

A balanced statistical boosting approach for GAMLSS via new step lengths pp. 4741-4773

Alexandra Daub, Andreas Mayr, Boyao Zhang and Elisabeth Bergherr

A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness pp. 4775-4798

Divan A. Burger, Sean Merwe and Emmanuel Lesaffre

A note on the area under the likelihood and the fake evidence for model selection pp. 4799-4824

L. Martino and F. Llorente

Partial membership models for soft clustering of multivariate football player performance data pp. 4825-4852

Emiliano Seri, Roberto Rocci and Thomas Brendan Murphy

Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data pp. 4853-4874

Zhiqiang Wang and Ying Wu

Volume 40, issue 7, 2025

kNN estimators for time series prediction: a functional partial linear single index model with missing responses and error-prone covariates pp. 3359-3384

Shuyu Meng, Zhensheng Huang and Nengxiang Ling

Informative right censoring in nonparametric survival models pp. 3385-3397

Iulii Vasilev, Mikhail Petrovskiy and Igor Mashechkin

Approximate Bayesian inference in a model for self-generated gradient collective cell movement pp. 3399-3452

Jon Devlin, Agnieszka Borowska, Dirk Husmeier and John Mackenzie

Bayesian modeling and forecasting of seasonal autoregressive models with scale-mixtures of normal errors pp. 3453-3475

Ayman A. Amin

Testing non-inferiority for three-arm trials under the PH model pp. 3477-3503

Pao-sheng Shen

A Newton-based variant of Exclusive Lasso for improved sparse solutions pp. 3505-3525

Dayasri Ravi and Andreas Groll

Coordinate gradient descent algorithm in adaptive LASSO for pure ARCH and pure GARCH models pp. 3527-3561

Muhammad Jaffri Mohd Nasir, Ramzan Nazim Khan, Gopalan Nair and Darfiana Nur

A machine learning based regulatory risk index for cryptocurrencies pp. 3563-3583

Xinwen Ni, Taojun Xie, Wolfgang Karl Härdle and Xiaorui Zuo

Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting pp. 3585-3611

Takayuki Yamada, Tetsuro Sakurai and Yasunori Fujikoshi

Kernel-Diffeomorphism Bayesian Bootstrap Filter to reduce speckle noise on SAR images pp. 3613-3643

Mourad Zribi, Ibrahim Sadok and Bassel Marhaba

Gradient-based smoothing parameter estimation for neural P-splines pp. 3645-3663

Lea M. Dammann, Marei Freitag, Anton Thielmann and Benjamin Säfken

Assessing the economic-statistical performance of variable acceptance sampling plans based on loss function pp. 3665-3713

Samrad Jafarian-Namin, Parviz Fattahi and Ali Salmasnia

On practical implementation of the fully robust one-sided cross-validation method in the nonparametric regression and density estimation contexts pp. 3715-3743

Olga Savchuk

An adaptive importance sampling for locally stable point processes pp. 3745-3779

Hee-Geon Kang and Sunggon Kim

Estimation of stress–strength reliability for the generalized inverted exponential distribution based on improved adaptive Type-II progressive censoring pp. 3781-3817

Chatany Swaroop, Subhankar Dutta, Shubham Saini and Neeraj Tiwari

Accelerated fitting of joint models of survival and longitudinal data with cumulative variations pp. 3819-3842

Yan Gao, Rodney A. Sparapani and Sergey Tarima

Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate pp. 3843-3866

Alejandro Román Vásquez, José Ulises Márquez Urbina, Graciela González Farías and Gabriel Escarela

Bayesian nonparametric hypothesis testing methods on multiple comparisons pp. 3867-3882

Qiuchen Hai and Zhuanzhuan Ma

Parameter-expanded ECME algorithms for logistic and penalized logistic regression pp. 3883-3909

Nicholas C. Henderson and Zhongzhe Ouyang

Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model pp. 3911-3946

Kohei Adachi

Learning causal graphs using variable grouping according to ancestral relationship pp. 3947-3979

Ming Cai and Hisayuki Hara

Partially functional linear expectile regression model with missing observations pp. 3981-4005

Chengxin Wu and Nengxiang Ling

Synthetic data generation method providing enhanced covariance matrix estimation pp. 4007-4035

Seungkyu Kim, Johan Lim and Donghyeon Yu

A bootstrap-based bandwidth selection rule for kernel quantile estimators pp. 4037-4058

Xiaoyu Liu, Yan Song, Hong-Fa Cheng and Kun Zhang

Volume 40, issue 6, 2025

Editorial on the special issue on the V Latin American conference on statistical computing pp. 2849-2856

David Fernando Muñoz, Verónica Andrea González-López and Jürgen Symanzik

A distribution-free control chart for joint monitoring of location and scale in finite horizon productions pp. 2857-2875

Arturo Javier Diaz Pulido, Alvaro Eduardo Cordero Franco and Víctor Gustavo Tercero Gómez

Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring pp. 2877-2905

David Han and Tianyu Bai

An extended approach for the generalized powered uniform distribution pp. 2907-2930

Carlos Rondero-Guerrero, Isidro González-Hernández and Carlos Soto-Campos

Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data pp. 2931-2954

Juan José Fernández-Durán and María Mercedes Gregorio-Domínguez

Policy evaluation using model over-fitting: the Nordic case pp. 2955-2980

Armando Tapia, Silvestre L. González, Jose R. Vergara, Mariano Villafuerte and Luis V. Montiel

A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico pp. 2981-3006

Marco Antonio Montufar-Benítez, Jaime Mora-Vargas, Carlos Arturo Soto-Campos, Gilberto Pérez-Lechuga and José Raúl Castro-Esparza

Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler pp. 3007-3040

Eduardo S. B. Oliveira, Mário Castro, Cristian L. Bayes and Jorge L. Bazán

Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem pp. 3041-3065

David F. Muñoz

Novel matrix hit and run for sampling polytopes and its GPU implementation pp. 3067-3104

Mario Vazquez Corte and Luis V. Montiel

Interactive graphics for visually diagnosing forest classifiers in R pp. 3105-3125

Natalia da Silva, Dianne Cook and Eun-Kyung Lee

Results and student perspectives on a web-scraping assignment from Utah State University’s data technologies course to evaluate the African activity in the statistical computing community pp. 3127-3151

Adelyn Fleming, Joanna D. Coltrin, Jhonatan Medri, Cody Hilyard, Rigoberto Tellez and Jürgen Symanzik

Multiple partition Markov model for B.1.1.7, B.1.351, B.1.617.2, and P.1 variants of SARS-CoV 2 virus pp. 3153-3189

Jesús Enrique García, Verónica Andrea González-López and Gustavo Henrique Tasca

Moments and probability density of threshold crossing times for populations in random environments under sustainable harvesting policies pp. 3191-3203

Nuno M. Brites and Carlos A. Braumann

Robust order selection of mixtures of regression models with random effects pp. 3205-3228

Luísa Novais and Susana Faria

Volatility forecasting using deep recurrent neural networks as GARCH models pp. 3229-3255

Gustavo Di-Giorgi, Rodrigo Salas, Rodrigo Avaria, Cristian Ubal, Harvey Rosas and Romina Torres

Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting pp. 3257-3289

Mohammad Kazemi and Paulo Canas Rodrigues

Incremental singular value decomposition for some numerical aspects of multiblock redundancy analysis pp. 3291-3319

Alba Martinez-Ruiz and Natale Carlo Lauro

Analysis of excess deaths from COVID-19 in El Salvador through time series pp. 3321-3357

W. O. Campos

Volume 40, issue 5, 2025

Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification pp. 2249-2276

Ankur Chakraborty and Nabakumar Jana

Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data pp. 2277-2321

Geoffrey Ecoto, Aurélien F. Bibaut and Antoine Chambaz

Group sparse sufficient dimension reduction: a model-free group variable selection method pp. 2323-2366

Kaida Cai, Xuewen Lu and Hua Shen

A fast divide-and-conquer strategy for single-index model with massive data pp. 2367-2387

Na Li and Jing Yang

A new class of information criteria for improved prediction in the presence of training/validation data heterogeneity pp. 2389-2423

Javier E. Flores, Joseph E. Cavanaugh and Andrew A. Neath

A novel finite mixture model based on the generalized scale mixtures of asymmetric generalized normal distributions: properties, estimation methodology and applications pp. 2425-2470

Ruijie Guan, Junjun Jiao, Weihu Cheng and Guozhi Hu

Correction to: Bayesian estimation of the number of species from Poisson–Lindley stochastic abundance model using non-informative priors pp. 2471-2489

Alaaeldin Mohamed Dyab and Hiba Zeyada Muhammed

On the effectiveness of partially deterministic Bayesian neural networks pp. 2491-2518

Daniel Andrade and Koki Sato

Conditional sufficient variable selection with prior information pp. 2519-2551

Pei Wang, Jing Lu, Jiaying Weng and Shouryya Mitra

The power of visualizing distributional differences: formal graphical n-sample tests pp. 2553-2582

Konstantinos Konstantinou, Tomáš Mrkvička and Mari Myllymäki

Copula hidden Markov model with unknown number of states pp. 2583-2610

Yujian Liu, Dejun Xie and Siyi Yu

Multiple-response logistic regression modeling with application to an analysis of cirrhosis liver disease data pp. 2611-2634

Yang Jing-Nan, Tian Yu-Zhu, Wang Yue and Wu Chun-Ho

Bayesian inferences and prediction of exponentiated exponential distribution based on multiple interval censored data pp. 2635-2655

Shubham Agnihotri, Sanjay Kumar Singh and Umesh Singh

Order restricted inference for Chen life time populations under progressive type-II censoring scheme with partially observed competing risks pp. 2657-2699

Jiaxin Zhang and Wenhao Gui

Functional regression models with functional response: a new approach and a comparative study pp. 2701-2727

Manuel Febrero–Bande, Manuel Oviedo- de la Fuente, Mohammad Darbalaei and Morteza Amini

Efficient estimation of a disease prevalence using auxiliary ranks information pp. 2729-2748

Ehsan Zamanzade, Hadi Saboori and Hani M. Samawi

Sequential Monte Carlo for cut-Bayesian posterior computation pp. 2749-2779

Joseph Mathews, Giri Gopalan, James Gattiker, Sean Smith and Devin Francom

Ensemble Kalman filter with precision localization pp. 2781-2805

Håkon Gryvill and Håkon Tjelmeland

BARMPy: Bayesian additive regression models Python package pp. 2807-2824

Danielle Van Boxel

Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package pp. 2825-2847

Tarn Duong

Volume 40, issue 4, 2025

Editorial: special issue on sports data science pp. 1683-1688

Pierpaolo D’Urso, Michele Gallo and Paola Zuccolotto

Network and attribute-based clustering of tennis players and tournaments pp. 1689-1712

Pierpaolo D’Urso, Livia Giovanni, Lorenzo Federico and Vincenzina Vitale

A new metric for pitch control based on an intuitive motion model pp. 1713-1730

Lucas Wu and Tim B. Swartz

Scoring probability maps in the basketball court with Indicator Kriging estimation pp. 1731-1751

Mirko Luigi Carlesso, Andrea Cappozzo, Marica Manisera and Paola Zuccolotto

Generalized Reduced K–Means pp. 1753-1778

Mariaelena Bottazzi Schenone, Roberto Rocci and Maurizio Vichi

Multivariate approaches to investigate the home and away behavior of football teams playing football matches pp. 1779-1799

Antonello D’Ambra, Pietro Amenta and Antonio Lucadamo

Statistical models for classification by handedness of Olympic Trap shooters in digital training services and remote coaching pp. 1801-1823

Riccardo Zanardelli, Maurizio Carpita and Marica Manisera

Analysing kinematic data from recreational runners using functional data analysis pp. 1825-1847

Edward Gunning, Steven Golovkine, Andrew J. Simpkin, Aoife Burke, Sarah Dillon, Shane Gore, Kieran Moran, Siobhan O’Connor, Enda White and Norma Bargary

Kendall correlations and radar charts to include goals for and goals against in soccer rankings pp. 1849-1872

Roy Cerqueti, Raffaele Mattera and Valerio Ficcadenti

A copula-based Bayesian framework for doping detection pp. 1873-1898

Nina Deliu and Brunero Liseo

Alternative ranking measures to predict international football results pp. 1899-1917

Roberto Macrì Demartino, Leonardo Egidi and Nicola Torelli

The home advantage and COVID-19: the crowd support effect on the english football premier league and the championship pp. 1919-1932

Johan Lyhagen

Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis pp. 1933-1958

Gianpaolo Zammarchi and Claudia Pisanu

Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives pp. 1959-1984

Anirban Dutta, Hemanta Saikia, Jonali Gogoi and Dibyojyoti Bhattacharjee

The role of the frailty in the evaluation of injury risk factors for National Basketball Association players pp. 1985-2003

Ambra Macis

Should sports professionals consider their adversary’s strategy? A case study of match play in golf pp. 2005-2029

Nishad Wajge and Gautier Stauffer

A model-based approach to shot charts estimation in basketball pp. 2031-2048

Luca Scrucca and Dimitris Karlis

Eras of dominance: identifying strong and weak periods in professional tennis pp. 2049-2066

Kristijan Breznik, Vincenzo Candila, Antonina Milekhina and Marialuisa Restaino

On the time of corner kicks in soccer: an analysis of event history data pp. 2067-2083

K. Ken Peng, X. Joan Hu and Tim B. Swartz

The game beyond the field: on football players’ performance through social media, sentiment and topic analysis pp. 2085-2108

Marco Ortu and Francesco Mola

Survival modeling of goal arrival times in English premier league pp. 2109-2133

Ilias Leriou and Ioannis Ntzoufras

On the CTA-PLS test for hierarchical models: an application to the football player’s performance pp. 2135-2155

Mattia Cefis and Maurizio Carpita

Lasso multinomial performance indicators for in-play basketball data pp. 2157-2181

Argyro Damoulaki, Ioannis Ntzoufras and Konstantinos Pelechrinis

Ranking handball teams from statistical strength estimation pp. 2183-2194

Florian Felice

Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach pp. 2195-2222

Gabriel Calvo, Carmen Armero and Luigi Spezia

Data science approach to simulating the FIFA World Cup Qatar 2022 at a website in tribute to Maradona pp. 2223-2247

Alejandro Álvarez, Alejandro Cataldo, Guillermo Durán, Manuel Durán, Pablo Galaz, Iván Monardo and Denis Sauré

Volume 40, issue 3, 2025

A class of transformed joint quantile time series models with applications to health studies pp. 1147-1170

Fahimeh Tourani-Farani, Zeynab Aghabazaz and Iraj Kazemi

The root-Gaussian Cox Process for spatial-temporal disease mapping with aggregated data pp. 1171-1184

Zeytu Gashaw Asfaw, Patrick E. Brown and Jamie Stafford

Positive time series regression models: theoretical and computational aspects pp. 1185-1215

Taiane Schaedler Prass, Guilherme Pumi, Cleiton Taufemback and Jonas Hendler Carlos

Profile transformations for reciprocal averaging and singular value decomposition pp. 1217-1251

Ting-Wu Wang, Eric J. Beh, Rosaria Lombardo and Ian W. Renner

A Metropolis–Hastings Robbins–Monro algorithm via variational inference for estimating the multidimensional graded response model: a calculationally efficient estimation scheme to deal with complex test structures pp. 1253-1284

Xue Wang, Jing Lu and Jiwei Zhang

Semiparametric regression analysis of panel binary data with an informative observation process pp. 1285-1309

Lei Ge, Yang Li and Jianguo Sun

Ordinal causal discovery based on Markov blankets pp. 1311-1335

Yu Du, Yi Sun and Luyao Tan

Robust confidence intervals for meta-regression with interaction effects pp. 1337-1360

Maria Thurow, Thilo Welz, Eric Knop, Tim Friede and Markus Pauly

Quantinar: a blockchain peer-to-peer ecosystem for modern data analytics pp. 1361-1396

Raul Bag, Bruno Spilak, Julian Winkel and Wolfgang Karl Härdle

A novel nonconvex, smooth-at-origin penalty for statistical learning pp. 1397-1422

Majnu John, Sujit Vettam and Yihren Wu

A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables pp. 1423-1446

Yoshio Takane, Eric J. Beh and Rosaria Lombardo

Performance of evaluation metrics for classification in imbalanced data pp. 1447-1473

Alex Cruz Huayanay, Jorge L. Bazán and Cibele M. Russo

Generalized linear model based on latent factors and supervised components pp. 1475-1516

Julien Gibaud, Xavier Bry and Catherine Trottier

INet for network integration pp. 1517-1539

Valeria Policastro, Matteo Magnani, Claudia Angelini and Annamaria Carissimo

Change point estimation for Gaussian time series data with copula-based Markov chain models pp. 1541-1581

Li-Hsien Sun, Yu-Kai Wang, Lien-Hsi Liu, Takeshi Emura and Chi-Yang Chiu

A precise and efficient exceedance-set algorithm for detecting environmental extremes pp. 1583-1595

Thomas Suesse and Alexander Brenning

Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting pp. 1597-1620

Junchen Li

Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression pp. 1621-1642

Tommy Löfstedt

Bayesian adaptive lasso quantile regression with non-ignorable missing responses pp. 1643-1682

Ranran Chen, Mai Dao, Keying Ye and Min Wang

Volume 40, issue 2, 2025

Efficient regression analyses with zero-augmented models based on ranking pp. 601-632

Deborah Kanda, Jingjing Yin, Xinyan Zhang and Hani Samawi

Advancements in Rényi entropy and divergence estimation for model assessment pp. 633-650

Luai Al-Labadi, Zhirui Chu and Ying Xu

Semiparametric analysis of competing risks data with covariate measurement error pp. 651-682

Akurathi Jayanagasri and S. Anjana

Expectile regression averaging method for probabilistic forecasting of electricity prices pp. 683-700

Joanna Janczura

Projection predictive variable selection for discrete response families with finite support pp. 701-721

Frank Weber, Änne Glass and Aki Vehtari

Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data pp. 723-743

Yi Wu, Wei Wang, Wei Yu and Xuejun Wang

Double truncation method for controlling local false discovery rate in case of spiky null pp. 745-766

Shinjune Kim, Youngjae Oh, Johan Lim, DoHwan Park, Erin M. Green, Mark L. Ramos and Jaesik Jeong

High dimensional T-type Estimator for robust covariance matrix estimation with applications to elliptical factor models pp. 767-794

Guanpeng Wang and Hengjian Cui

Leveraging single-case results to Bayesian hierarchical modelling pp. 795-819

Shijing Si, Jia-wen Gu and Maozai Tian

Monitoring mean of INAR(1) process with discrete mixture exponential innovations pp. 821-862

M. R. Irshad, Muhammed Ahammed and R. Maya

A time-varying coefficient rate model with intermittently observed covariates for recurrent event data pp. 863-882

Fangyuan Kang and Jianxi Zhao

Some aspects of nonlinear dimensionality reduction pp. 883-906

Liwen Wang, Yongda Wang, Shifeng Xiong and Jiankui Yang

Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test pp. 907-927

Hyunman Sim, Sungjeong Lee, Bo-Hyung Kim, Eun Shin and Woojoo Lee

Multiple imputation with competing risk outcomes pp. 929-949

Peter C. Austin

Variable selection and structure identification for additive models with longitudinal data pp. 951-975

Ting Wang, Liya Fu and Yanan Song

Robust variable selection for additive coefficient models pp. 977-997

Hang Zou, Xiaowen Huang and Yunlu Jiang

Empirical likelihood change point detection in quantile regression models pp. 999-1020

Suthakaran Ratnasingam and Ramadha D. Piyadi Gamage

Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors pp. 1021-1051

Yonghui Liu, Jiawei Lu, Gilberto A. Paula and Shuangzhe Liu

Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging pp. 1053-1069

Davood Poursina and B Brorsen

Exploring local explanations of nonlinear models using animated linear projections pp. 1071-1095

Nicholas Spyrison, Dianne Cook and Przemyslaw Biecek

Trend of high dimensional time series estimation using low-rank matrix factorization: heuristics and numerical experiments via the TrendTM package pp. 1097-1122

Emilie Lebarbier, Nicolas Marie and Amélie Rosier

FPDclustering: a comprehensive R package for probabilistic distance clustering based methods pp. 1123-1146

Cristina Tortora and Francesco Palumbo

Volume 40, issue 1, 2025

Degree selection methods for curve estimation via Bernstein polynomials pp. 1-26

Juliana Freitas de Mello e Silva, Sujit Kumar Ghosh and Vinícius Diniz Mayrink

Imbalanced data sampling design based on grid boundary domain for big data pp. 27-64

Hanji He, Jianfeng He and Liwei Zhang

A subspace aggregating algorithm for accurate classification pp. 65-86

Saeid Amiri and Reza Modarres

Robust estimation of functional factor models with functional pairwise spatial signs pp. 87-110

Shuquan Yang and Nengxiang Ling

Simultaneous confidence bands for multiple comparisons of several percentile lines pp. 111-123

Sanyu Zhou and Yu Zhang

Likelihood inference for unified transformation cure model with interval censored data pp. 125-151

Jodi Treszoks and Suvra Pal

A difference-based method for testing no effect in nonparametric regression pp. 153-176

Zhijian Li, Tiejun Tong and Yuedong Wang

An attribute-based Node2Vec model for dynamic community detection on co-authorship network pp. 177-204

Tong Zhou, Rui Pan, Junfei Zhang and Hansheng Wang

Machine learning embedded EM algorithms for semiparametric mixture regression models pp. 205-224

Jiacheng Xue, Weixin Yao and Sijia Xiang

Modal regression models based on B-splines pp. 225-248

Lianqiang Yang, Wanli Yuan and Shijie Wang

A simple algorithm for computing the probabilities of count models based on pure birth processes pp. 249-272

Mongkol Hunkrajok and Wanrudee Skulpakdee

Closed-form expressions of the run-length distribution of the nonparametric double sampling precedence monitoring scheme pp. 273-299

Zwelakhe Magagula, Jean-Claude Malela-Majika, Schalk William Human, Philippe Castagliola, Kashinath Chatterjee and Christos Koukouvinos

Penalized function-on-function linear quantile regression pp. 301-329

Ufuk Beyaztas, Han Lin Shang and Semanur Saricam

PDAS: a Newton-type method for $$L_0$$ L 0 regularized accelerated failure time model pp. 331-352

Ning Su, Yanyan Liu and Lican Kang

Advancements in reliability estimation for the exponentiated Pareto distribution: a comparison of classical and Bayesian methods with lower record values pp. 353-382

Shubham Saini

Two-stage regression spline modeling based on local polynomial kernel regression pp. 383-403

Hamid Mraoui, Ahmed El-Alaoui, Souad Bechrouri, Nezha Mohaoui and Abdelilah Monir

R-estimation in linear models: algorithms, complexity, challenges pp. 405-439

Jaromír Antoch, Michal Černý and Ryozo Miura

Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data pp. 441-468

Kuo-Jung Lee, Ray-Bing Chen and Keunbaik Lee

Mixture models for simultaneous classification and reduction of three-way data pp. 469-507

Roberto Rocci, Maurizio Vichi and Monia Ranalli

A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures pp. 509-545

M. Corneli, E. Erosheva, X. Qian and M. Lorenzi

Exact and approximate computation of the scatter halfspace depth pp. 547-572

Xiaohui Liu, Yuzi Liu, Petra Laketa, Stanislav Nagy and Yuting Chen

Maximizing adjusted covariance: new supervised dimension reduction for classification pp. 573-599

Hyejoon Park, Hyunjoong Kim and Yung-Seop Lee