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Content
April 2026, Volume 41, Issue 3
- 1-21 Enhancing univariate time series forecasting: a general tree-based model selection approach
by Alexandru-Mihail Stroilă - 1-23 Closed-form estimators for multivariate regressions models: a single categorical variable approach
by Antoine Burg & Christophe Dutang - 1-24 A framework to efficiently smooth L1 penalties for linear regression
by Georg Hahn & Sharon M. Lutz & Nilanjana Laha & Julian Hecker & Dmitry Prokopenko & Sanghun Lee & Woojoo Lee & Michael H. Cho & Edwin K. Silverman & Christoph Lange - 1-28 Change point detection using Bayesian adaptive LASSO quantile regression
by Ranran Chen & Mai Dao & Donald Lien & Keying Ye & Min Wang - 1-31 Matrix-valued AutoRegressive (MAR) models in gretl
by Andrea Bucci & Giulio Palomba & Marco Tedeschi - 1-32 Optimal designs for longitudinal trials with discrete-time survival endpoints
by Yun-Juan Wang & Xin-Yuan Ji & Xiao-Dong Zhou & Rong-Xian Yue - 1-37 Quasi-likelihood-based EM algorithm for regime-switching SDE
by Yuzhong Cheng & Hiroki Masuda - 1-42 Confidence intervals for Random Forest permutation importance with missing data
by Nico Föge & Markus Pauly
February 2026, Volume 41, Issue 2
- 1-15 Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data
by Haixiang Zhang & HaiYing Wang - 1-19 Bayesian model averaging for VAR models: gretl-based implementation
by Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski - 1-20 Estimation and model selection of heterogeneous mixture distributions: an ECME algorithm-based approach
by Marco Bee - 1-21 Weather fluctuations and the (German) industrial sector
by Sven Schreiber - 1-25 Intrinsic geometry-inspired dependent toroidal distribution: application to regression model for astigmatism data
by Buddhananda Banerjee & Surojit Biswas - 1-30 Bayesian weighted composite quantile regression in varying-coefficient partially linear mixed-effects model with ordinal longitudinal data
by Xiaofan Wang & Jiaqing Chen & Jinjing Wang & Yibo Long & Feng Gu & Yangxin Huang - 1-33 Efficient subsampling for high-dimensional data
by Vasilis Chasiotis & Lin Wang & Dimitris Karlis - 1-34 Fuzzy two-mode clustering: How to determine the optimal number of clusters?
by Maria Brigida Ferraro & Paolo Giordani & Maurizio Vichi - 1-34 Bayesian analysis of heavy-tailed Heckman selection models using Hamiltonian Monte Carlo
by Heeju Lim & Victor E. Lachos & Victor H. Lachos - 1-35 FlexReg: an R package for fitting a general class of mixture regression models with bounded responses in a Bayesian framework
by Roberto Ascari & Agnese Maria Di Brisco & Sonia Migliorati & Andrea Ongaro - 1-36 IAOA-LSTM: a hybrid model for stock portfolio optimization
by David Opeoluwa Oyewola & Temidayo Oluwatosin Omotehinwa & Temitope Olubanjo Kehinde & Yahya Hammawa - 1-36 Semi-proximal ADMM for fused Lasso penalized least absolute deviation in partially linear model
by Fanke Kong & Zheng-Fen Jin & Youlin Shang & Yunhai Xiao & Deren Han - 1-38 Multi-step adaptive elastic net for variable selection and classification in high-dimensional sparse logistic regression models
by Yiping Yang & Yinghui Huang & Junhua Zhang & Gaorong Li
January 2026, Volume 41, Issue 1
- 1-17 A stochastic approach to k-nearest neighbors search using a fixed radius method
by Brahian Cano Urrego & Alexander Alsup & Jeffrey A. Thompson & Devin C. Koestler - 1-18 QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility models
by Paolo Chirico - 1-18 Semiparametric analysis of the additive hazards model with dependent right-censored data
by Shuying Wang & Linyan Luo & Bo Zhao & Xinyu Liu - 1-21 Unveiling mortality dynamics: a novel mathematical framework across adulthood and aging
by Begüm Çığşar & Deniz Ünal - 1-21 An extreme gradient boosted approach for predicting the number and size of auto insurance claims
by Chaima Hmani & Abdelaziz Ghribi & Afif Masmoudi - 1-21 Smote enhanced cumulative moment estimation for sufficient dimension reduction
by Yvette Feng & Andreas Artemiou & Qin Wang - 1-22 Estimation of the change-point Cox proportional hazards model based on case-I interval-censored data
by Qiyue Huang & Xiaoyi Wang & Xingwei Tong & Meng Li & Jianguo Sun - 1-23 Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
by Anja Zgodic & Ray Bai & Jiajia Zhang & Yuan Wang & Christopher Rorden & Alexander C. McLain - 1-24 Simultaneous selection of knots and variables in additive models
by Hyungjin Kim & Sungwan Bang & Jongkyeong Kang - 1-26 Generalized spatial beta models for skewed and bimodal proportion data
by Mehdi Homayouni & Majid Jafari Khaledi & Esmaeil Najafi & Hormoz Sohrabi - 1-26 Right-censored models on massive data
by Gabriela Ciuperca - 1-26 Bayesian multivariate smoothing spline approach for yield curve joint estimation across bond types
by Wenyang Wang & Muxin Chen & Yuqiang Xu & Xiaojun Tong & Dongchu Sun & Chong He - 1-27 Individualized treatment effect estimation with compromised adversarial nets
by Atomsa Gemechu Abdisa & Yingchun Zhou & Yuqi Qiu - 1-27 A sparse estimate to varying-coefficient additive models for functional and longitudinal data
by Yaxuan Zhao & Zhimeng Sun & Yuehan Yang - 1-28 Tests and graphical tools for the comparison of time series predictors
by Jussi Klemelä - 1-28 The impact of random tree depth—a novel randomization process for ensemble methods
by Daniel Horn & Tobias Markus Krabel & Thi Ngoc Tien Tran & Andreas Groll & Carsten Jentsch - 1-28 Goodness-of-fit test procedures for degradation data
by Lochana Palayangoda & Aziz Gafurov & Hon Keung Tony Ng - 1-29 Fast MMPTs: a fast approximate sampler toward a mixture of multivariate Polya trees
by William Cipolli III - 1-30 Fast inference in copula models with categorical explanatory variables using the one-step procedure
by Alexandre Brouste & Christophe Dutang & Lilit Hovsepyan & Tom Rohmer - 1-30 Subagging for bandwidth selection: a computationally efficient approach to kernel density estimation
by Mario Francisco-Fernández & Daniel Barreiro-Ures & Ricardo Cao - 1-30 Introducing HYBRID and ENSEMBLE: novel nonconvex penalization strategies for robust variable selection under missing data
by Lingling Zhang - 1-30 Bayesian variable selection and estimation based on asymmetric squared loss in high dimensions
by Xiangyu Shi & Xiangyang Xu & Ruiyuan Cao & Tianfa Xie - 1-30 Measuring spillovers and connectedness in gretl
by Chiara Casoli & Luca Pedini - 1-31 Sparse Bayesian multidimensional scaling(s)
by Ami Sheth & Aaron Smith & Andrew J. Holbrook - 1-32 Developments of complex principal component analysis for an exploratory study of Pacific winds and El Niño Southern Oscillation
by Sergio Camiz & Jean-Jacques Denimal & Juana Ravines Ruiz - 1-32 Regularized estimation for right-censored zero-inflated poisson regression: methods and applications to health data
by Essoham Ali & Adewale F. Lukman & Solym M. Manou-Abi - 1-35 Deep learning based posterior sampling for high-dimensional linear inverse problems
by Gerd Wübbeler & Franko Schmähling & Manuel Marschall & Clemens Elster - 1-37 Estimation and inference of high-dimensional partially linear spatial autoregressive models with linear constraints
by Tizheng Li & Ting Liu & Xiangyi Zhang - 1-41 Flexible scale mixtures of skewed generalized normal distributions: properties and inference
by Aidi Liu & Weihu Cheng & Minghui Yao - 1-41 Sparse functional data classification via Bayesian aggregation
by Ahmad Talafha
December 2025, Volume 40, Issue 9
- 4875-4900 Bayesian optimal design for $$2 \times 2$$ 2 × 2 binary crossover trials using copula
by Satya Prakash Singh & Deepak Prajapati - 4901-4936 Optimal subsampling algorithm for composite quantile regression with distributed data
by Xiaohui Yuan & Shiting Zhou & Yue Wang - 4937-4968 Comparison of five estimation methods for the parameters of the Johnson unbounded distribution using simulated and real-data samples
by David F. Muñoz - 4969-4990 A novel method and comparison of methods for constructing Markov bridges
by F. Baltazar-Larios & Luz Judith R. Esparza - 4991-5021 Nonparametric CUSUM change-point detection procedures based on modified empirical likelihood
by Peiyao Wang & Wei Ning - 5023-5042 Time series forecasting via integrating a filtering method: an application to electricity consumption
by Felipe Leite Coelho da Silva & Josiane da Silva Cordeiro & Kleyton da Costa & Nemias Saboya & Paulo Canas Rodrigues & Javier Linkolk López-Gonzales - 5043-5074 Independence tests based on the shape of the Standard Young Tableau
by Jesús Enrique García & Verónica Andrea González-López & María Magdalena Kcala Álvaro - 5075-5104 Weighted LAD-Liu-LASSO for robust estimation and sparsity
by Murat Genç & Adewale Lukman - 5105-5134 A tree-based varying coefficient model
by Henning Zakrisson & Mathias Lindholm - 5135-5161 Success in the MLS SuperDraft: evaluating player characteristics and performance using mixed effects models
by Sean Hellingman & Zilin Wang & Mary Thompson - 5163-5194 Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions
by Luis Benites & Víctor H. Lachos & Heleno Bolfarine & Camila B. Zeller - 5195-5223 Statistical inference for case-control logistic regression via integrating external summary data
by Hengchao Shi & Xinyi Liu & Ming Zheng & Wen Yu - 5225-5256 Monitoring time dependent image processes for detecting shifts in pixel intensities
by Yarema Okhrin & Viktoriia Petruk & Wolfgang Schmid - 5257-5291 Tree oblique for regression with weighted support vector machine
by Andrea Carta & Luca Frigau - 5293-5314 Robust testing based on density power divergence for comparing multiple means in the ANCOVA model
by Abhijit Mandal & Beste Hamiye Beyaztas - 5315-5352 Non-parametric entropy tests for spatial dependence
by Christian H. Weiß & Hee-Young Kim - 5353-5354 Correction: Non-parametric entropy tests for Spatial dependence
by Christian H. Weiß & Hee-Young Kim - 5355-5380 Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates
by Fangyuan Kang - 5381-5415 Golf strategy optimization and the “Drive for show, putt for dough” adage
by Gautier Stauffer & Matthieu Guillot - 5417-5432 A general semiparametric maximum likelihood method for Cox regression models with nonmonotone missing at random covariates
by Yang Zhao - 5433-5464 Effective sample size approximations as entropy measures
by L. Martino & V. Elvira - 5465-5490 Weighted robust hybrid partial least squares regression forest
by Aylin Alin - 5491-5517 Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks
by Lucio Palazzo & Riccardo Ievoli & Roberto Rondinelli & Giancarlo Ragozini - 5519-5535 Improved confidence intervals for finite mixture regression based on resampling techniques
by Colin Griesbach & Tobias Hepp - 5537-5572 Voting based optimized deep ensemble model: an effective visual and textual fusion for recognition of face emotions
by Dipti Pandit & Sangeeta Jadhav - 5573-5615 Testing procedures based on maximum likelihood estimation for marked Hawkes processes
by Anna Bonnet & Charlotte Dion-Blanc & Maya Sadeler Perrin - 5617-5647 Adaptive Kernel-Based Serial and Parallel U-Net Architectures for the Segmentation of Lung Nodules
by R. Janefer Beula & A. Boyed Wesley - 5649-5676 Deep learning-based survival analysis with copula-based activation functions for multivariate response prediction
by Jong-Min Kim & Il Do Ha & Sangjin Kim - 5677-5728 A locally sequentially reweighted gradient descent estimator to enhance statistical efficiency for decentralized federated learning
by Yue Chen & Peng Lin & Baoxue Zhang - 5729-5768 Analysis for left-truncated and right-censored competing risks data from marshall-olkin bivariate generalized lifetime family
by Prakash Chandra & Arvind Kumar Alok & Yogesh Mani Tripathi & Liang Wang - 5769-5790 Distributed Generalized Linear Models: A Privacy-Preserving Approach
by Daniel Tinoco & Raquel Menezes & Carlos Baquero - 5791-5831 Automated subset selection via information criteria optimization in generalized linear models
by Benjamin Schwendinger & Florian Schwendinger & Laura Vana-Gür
November 2025, Volume 40, Issue 8
- 4059-4079 SpICE: an interpretable method for spatial data
by Natalia da Silva & Ignacio Alvarez-Castro & Leonardo Moreno & Andrés Sosa - 4081-4113 A new quantile regression model for bounded responses with applications
by Patrícia Stülp & Jorge Luis Bazán & Luis Hilmar Valdivieso Serrano - 4115-4137 Modeling of long-term survival data with unobserved dispersion via neural network
by Led Red Teh & Vicente Garibay Cancho & Josemar Rodrigues - 4139-4161 Iterative weighted LAD estimation with homoskedasticity testing using the Gini concentration index
by Ilaria Lucrezia Amerise - 4163-4186 A novel hybrid framework for forecasting stock indices based on the nonlinear time series models
by Hasnain Iftikhar & Faridoon Khan & Elías A. Torres Armas & Paulo Canas Rodrigues & Javier Linkolk López-Gonzales - 4187-4207 An improved preconditioned unsupervised K-means clustering algorithm
by Tiantian Sun & Xiaofei Peng & Wenxiu Ge & Weiwei Xu - 4209-4230 Robust mixture of linear mixed modeling via multivariate Laplace distribution
by Xiongya Li & Xiuqin Bai & Weixing Song - 4231-4246 Finding exclusive peak with permutation testing
by Rosa Arboretti & Elena Barzizza & Riccardo Ceccato - 4247-4275 A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models
by Yuxin Zhang & Jie Liu & Yang Yang - 4277-4305 Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior
by Nastaran Marzban Vaselabadi & Saeid Tahmasebi & Reza Mohammadi & Hamid Karamikabir - 4307-4329 Towards black-box parameter estimation
by Amanda Lenzi & Haavard Rue - 4331-4366 Network embedding for bipartite networks with applications in interlocking directorates in Chinese companies
by Yan Zhang & Rui Pan & Feifei Wang & Kuangnan Fang & Hansheng Wang - 4367-4397 A latent class pattern mixture model for nonignorable nonresponses in multivariate categorical data
by Jungwun Lee & Margaret Lloyd Sieger & Jon D. Phillips - 4399-4439 Misspecification-robust likelihood-free inference in high dimensions
by Owen Thomas & Raquel Sá-Leão & Hermínia Lencastre & Samuel Kaski & Jukka Corander & Henri Pesonen - 4441-4474 The corrected likelihood approach for adjusting measurement error in Cox’s model
by Anu Susan George & G. Asha - 4475-4514 FRODO: a novel approach to micro–macro multilevel regression
by Shaun McDonald & Alexandre Leblanc & Saman Muthukumarana & David Campbell - 4515-4564 Linear-quadratic quantile regression model with a change point due to a threshold covariate
by Yan Chen & Caiyun Fan & Feipeng Zhang - 4565-4587 A powerful penalized multinomial logistic regression approach
by Cornelia Fuetterer & Malte Nalenz & Thomas Augustin & Ruth M. Pfeiffer - 4589-4605 DeepCENT: prediction of censored event time via deep learning
by Yichen Jia & Jong-Hyeon Jeong - 4607-4634 Enhancing parameter estimation in finite mixture of generalized normal distributions
by Pierdomenico Duttilo & Stefano Antonio Gattone - 4635-4673 Maximum likelihood estimation of parameters for double poisson regression: a simulation study
by Sebastian Appelbaum & Thomas Ostermann & Uwe Konerding - 4675-4716 A simple and efficient method for sampling mixture models based on Dirichlet and Pitman-Yor processes
by Mame Diarra Fall & Éric Barat - 4717-4739 Determining the uncertain boundaries of the diagnostics tests by using information criteria
by Ebru Ozturk & Ergun Karaagaoglu & Jale Karakaya - 4741-4773 A balanced statistical boosting approach for GAMLSS via new step lengths
by Alexandra Daub & Andreas Mayr & Boyao Zhang & Elisabeth Bergherr - 4775-4798 A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness
by Divan A. Burger & Sean Merwe & Emmanuel Lesaffre - 4799-4824 A note on the area under the likelihood and the fake evidence for model selection
by L. Martino & F. Llorente - 4825-4852 Partial membership models for soft clustering of multivariate football player performance data
by Emiliano Seri & Roberto Rocci & Thomas Brendan Murphy - 4853-4874 Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data
by Zhiqiang Wang & Ying Wu
September 2025, Volume 40, Issue 7
- 3359-3384 kNN estimators for time series prediction: a functional partial linear single index model with missing responses and error-prone covariates
by Shuyu Meng & Zhensheng Huang & Nengxiang Ling - 3385-3397 Informative right censoring in nonparametric survival models
by Iulii Vasilev & Mikhail Petrovskiy & Igor Mashechkin - 3399-3452 Approximate Bayesian inference in a model for self-generated gradient collective cell movement
by Jon Devlin & Agnieszka Borowska & Dirk Husmeier & John Mackenzie - 3453-3475 Bayesian modeling and forecasting of seasonal autoregressive models with scale-mixtures of normal errors
by Ayman A. Amin - 3477-3503 Testing non-inferiority for three-arm trials under the PH model
by Pao-sheng Shen - 3505-3525 A Newton-based variant of Exclusive Lasso for improved sparse solutions
by Dayasri Ravi & Andreas Groll - 3527-3561 Coordinate gradient descent algorithm in adaptive LASSO for pure ARCH and pure GARCH models
by Muhammad Jaffri Mohd Nasir & Ramzan Nazim Khan & Gopalan Nair & Darfiana Nur - 3563-3583 A machine learning based regulatory risk index for cryptocurrencies
by Xinwen Ni & Taojun Xie & Wolfgang Karl Härdle & Xiaorui Zuo - 3585-3611 Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting
by Takayuki Yamada & Tetsuro Sakurai & Yasunori Fujikoshi - 3613-3643 Kernel-Diffeomorphism Bayesian Bootstrap Filter to reduce speckle noise on SAR images
by Mourad Zribi & Ibrahim Sadok & Bassel Marhaba - 3645-3663 Gradient-based smoothing parameter estimation for neural P-splines
by Lea M. Dammann & Marei Freitag & Anton Thielmann & Benjamin Säfken - 3665-3713 Assessing the economic-statistical performance of variable acceptance sampling plans based on loss function
by Samrad Jafarian-Namin & Parviz Fattahi & Ali Salmasnia - 3715-3743 On practical implementation of the fully robust one-sided cross-validation method in the nonparametric regression and density estimation contexts
by Olga Savchuk - 3745-3779 An adaptive importance sampling for locally stable point processes
by Hee-Geon Kang & Sunggon Kim - 3781-3817 Estimation of stress–strength reliability for the generalized inverted exponential distribution based on improved adaptive Type-II progressive censoring
by Chatany Swaroop & Subhankar Dutta & Shubham Saini & Neeraj Tiwari - 3819-3842 Accelerated fitting of joint models of survival and longitudinal data with cumulative variations
by Yan Gao & Rodney A. Sparapani & Sergey Tarima - 3843-3866 Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate
by Alejandro Román Vásquez & José Ulises Márquez Urbina & Graciela González Farías & Gabriel Escarela - 3867-3882 Bayesian nonparametric hypothesis testing methods on multiple comparisons
by Qiuchen Hai & Zhuanzhuan Ma - 3883-3909 Parameter-expanded ECME algorithms for logistic and penalized logistic regression
by Nicholas C. Henderson & Zhongzhe Ouyang - 3911-3946 Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model
by Kohei Adachi - 3947-3979 Learning causal graphs using variable grouping according to ancestral relationship
by Ming Cai & Hisayuki Hara - 3981-4005 Partially functional linear expectile regression model with missing observations
by Chengxin Wu & Nengxiang Ling - 4007-4035 Synthetic data generation method providing enhanced covariance matrix estimation
by Seungkyu Kim & Johan Lim & Donghyeon Yu - 4037-4058 A bootstrap-based bandwidth selection rule for kernel quantile estimators
by Xiaoyu Liu & Yan Song & Hong-Fa Cheng & Kun Zhang
July 2025, Volume 40, Issue 6
- 2849-2856 Editorial on the special issue on the V Latin American conference on statistical computing
by David Fernando Muñoz & Verónica Andrea González-López & Jürgen Symanzik - 2857-2875 A distribution-free control chart for joint monitoring of location and scale in finite horizon productions
by Arturo Javier Diaz Pulido & Alvaro Eduardo Cordero Franco & Víctor Gustavo Tercero Gómez - 2877-2905 Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring
by David Han & Tianyu Bai - 2907-2930 An extended approach for the generalized powered uniform distribution
by Carlos Rondero-Guerrero & Isidro González-Hernández & Carlos Soto-Campos - 2931-2954 Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data
by Juan José Fernández-Durán & María Mercedes Gregorio-Domínguez - 2955-2980 Policy evaluation using model over-fitting: the Nordic case
by Armando Tapia & Silvestre L. González & Jose R. Vergara & Mariano Villafuerte & Luis V. Montiel - 2981-3006 A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico
by Marco Antonio Montufar-Benítez & Jaime Mora-Vargas & Carlos Arturo Soto-Campos & Gilberto Pérez-Lechuga & José Raúl Castro-Esparza - 3007-3040 Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler
by Eduardo S. B. Oliveira & Mário Castro & Cristian L. Bayes & Jorge L. Bazán - 3041-3065 Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem
by David F. Muñoz - 3067-3104 Novel matrix hit and run for sampling polytopes and its GPU implementation
by Mario Vazquez Corte & Luis V. Montiel - 3105-3125 Interactive graphics for visually diagnosing forest classifiers in R
by Natalia da Silva & Dianne Cook & Eun-Kyung Lee - 3127-3151 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
by Adelyn Fleming & Joanna D. Coltrin & Jhonatan Medri & Cody Hilyard & Rigoberto Tellez & Jürgen Symanzik - 3153-3189 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
by Jesús Enrique García & Verónica Andrea González-López & Gustavo Henrique Tasca - 3191-3203 Moments and probability density of threshold crossing times for populations in random environments under sustainable harvesting policies
by Nuno M. Brites & Carlos A. Braumann - 3205-3228 Robust order selection of mixtures of regression models with random effects
by Luísa Novais & Susana Faria - 3229-3255 Volatility forecasting using deep recurrent neural networks as GARCH models
by Gustavo Di-Giorgi & Rodrigo Salas & Rodrigo Avaria & Cristian Ubal & Harvey Rosas & Romina Torres - 3257-3289 Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting
by Mohammad Kazemi & Paulo Canas Rodrigues - 3291-3319 Incremental singular value decomposition for some numerical aspects of multiblock redundancy analysis
by Alba Martinez-Ruiz & Natale Carlo Lauro - 3321-3357 Analysis of excess deaths from COVID-19 in El Salvador through time series
by W. O. Campos
June 2025, Volume 40, Issue 5
- 2249-2276 Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification
by Ankur Chakraborty & Nabakumar Jana - 2277-2321 Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data
by Geoffrey Ecoto & Aurélien F. Bibaut & Antoine Chambaz - 2323-2366 Group sparse sufficient dimension reduction: a model-free group variable selection method
by Kaida Cai & Xuewen Lu & Hua Shen - 2367-2387 A fast divide-and-conquer strategy for single-index model with massive data
by Na Li & Jing Yang - 2389-2423 A new class of information criteria for improved prediction in the presence of training/validation data heterogeneity
by Javier E. Flores & Joseph E. Cavanaugh & Andrew A. Neath - 2425-2470 A novel finite mixture model based on the generalized scale mixtures of asymmetric generalized normal distributions: properties, estimation methodology and applications
by Ruijie Guan & Junjun Jiao & Weihu Cheng & Guozhi Hu - 2471-2489 Correction to: Bayesian estimation of the number of species from Poisson–Lindley stochastic abundance model using non-informative priors
by Alaaeldin Mohamed Dyab & Hiba Zeyada Muhammed - 2491-2518 On the effectiveness of partially deterministic Bayesian neural networks
by Daniel Andrade & Koki Sato - 2519-2551 Conditional sufficient variable selection with prior information
by Pei Wang & Jing Lu & Jiaying Weng & Shouryya Mitra - 2553-2582 The power of visualizing distributional differences: formal graphical n-sample tests
by Konstantinos Konstantinou & Tomáš Mrkvička & Mari Myllymäki - 2583-2610 Copula hidden Markov model with unknown number of states
by Yujian Liu & Dejun Xie & Siyi Yu - 2611-2634 Multiple-response logistic regression modeling with application to an analysis of cirrhosis liver disease data
by Yang Jing-Nan & Tian Yu-Zhu & Wang Yue & Wu Chun-Ho - 2635-2655 Bayesian inferences and prediction of exponentiated exponential distribution based on multiple interval censored data
by Shubham Agnihotri & Sanjay Kumar Singh & Umesh Singh - 2657-2699 Order restricted inference for Chen life time populations under progressive type-II censoring scheme with partially observed competing risks
by Jiaxin Zhang & Wenhao Gui - 2701-2727 Functional regression models with functional response: a new approach and a comparative study
by Manuel Febrero–Bande & Manuel Oviedo-de la Fuente & Mohammad Darbalaei & Morteza Amini - 2729-2748 Efficient estimation of a disease prevalence using auxiliary ranks information
by Ehsan Zamanzade & Hadi Saboori & Hani M. Samawi - 2749-2779 Sequential Monte Carlo for cut-Bayesian posterior computation
by Joseph Mathews & Giri Gopalan & James Gattiker & Sean Smith & Devin Francom - 2781-2805 Ensemble Kalman filter with precision localization
by Håkon Gryvill & Håkon Tjelmeland - 2807-2824 BARMPy: Bayesian additive regression models Python package
by Danielle Van Boxel - 2825-2847 Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package
by Tarn Duong
April 2025, Volume 40, Issue 4
- 1683-1688 Editorial: special issue on sports data science
by Pierpaolo D’Urso & Michele Gallo & Paola Zuccolotto - 1689-1712 Network and attribute-based clustering of tennis players and tournaments
by Pierpaolo D’Urso & Livia Giovanni & Lorenzo Federico & Vincenzina Vitale - 1713-1730 A new metric for pitch control based on an intuitive motion model
by Lucas Wu & Tim B. Swartz - 1731-1751 Scoring probability maps in the basketball court with Indicator Kriging estimation
by Mirko Luigi Carlesso & Andrea Cappozzo & Marica Manisera & Paola Zuccolotto - 1753-1778 Generalized Reduced K–Means
by Mariaelena Bottazzi Schenone & Roberto Rocci & Maurizio Vichi - 1779-1799 Multivariate approaches to investigate the home and away behavior of football teams playing football matches
by Antonello D’Ambra & Pietro Amenta & Antonio Lucadamo - 1801-1823 Statistical models for classification by handedness of Olympic Trap shooters in digital training services and remote coaching
by Riccardo Zanardelli & Maurizio Carpita & Marica Manisera - 1825-1847 Analysing kinematic data from recreational runners using functional data analysis
by Edward Gunning & Steven Golovkine & Andrew J. Simpkin & Aoife Burke & Sarah Dillon & Shane Gore & Kieran Moran & Siobhan O’Connor & Enda White & Norma Bargary - 1849-1872 Kendall correlations and radar charts to include goals for and goals against in soccer rankings
by Roy Cerqueti & Raffaele Mattera & Valerio Ficcadenti - 1873-1898 A copula-based Bayesian framework for doping detection
by Nina Deliu & Brunero Liseo - 1899-1917 Alternative ranking measures to predict international football results
by Roberto Macrì Demartino & Leonardo Egidi & Nicola Torelli - 1919-1932 The home advantage and COVID-19: the crowd support effect on the english football premier league and the championship
by Johan Lyhagen - 1933-1958 Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis
by Gianpaolo Zammarchi & Claudia Pisanu - 1959-1984 Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives
by Anirban Dutta & Hemanta Saikia & Jonali Gogoi & Dibyojyoti Bhattacharjee - 1985-2003 The role of the frailty in the evaluation of injury risk factors for National Basketball Association players
by Ambra Macis - 2005-2029 Should sports professionals consider their adversary’s strategy? A case study of match play in golf
by Nishad Wajge & Gautier Stauffer - 2031-2048 A model-based approach to shot charts estimation in basketball
by Luca Scrucca & Dimitris Karlis - 2049-2066 Eras of dominance: identifying strong and weak periods in professional tennis
by Kristijan Breznik & Vincenzo Candila & Antonina Milekhina & Marialuisa Restaino - 2067-2083 On the time of corner kicks in soccer: an analysis of event history data
by K. Ken Peng & X. Joan Hu & Tim B. Swartz - 2085-2108 The game beyond the field: on football players’ performance through social media, sentiment and topic analysis
by Marco Ortu & Francesco Mola - 2109-2133 Survival modeling of goal arrival times in English premier league
by Ilias Leriou & Ioannis Ntzoufras - 2135-2155 On the CTA-PLS test for hierarchical models: an application to the football player’s performance
by Mattia Cefis & Maurizio Carpita - 2157-2181 Lasso multinomial performance indicators for in-play basketball data
by Argyro Damoulaki & Ioannis Ntzoufras & Konstantinos Pelechrinis - 2183-2194 Ranking handball teams from statistical strength estimation
by Florian Felice - 2195-2222 Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach
by Gabriel Calvo & Carmen Armero & Luigi Spezia