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ORCIDComputational Statistics, Volume 40
Volume 40, Number 1, January 2025
- Juliana Freitas de Mello e Silva
, Sujit Kumar Ghosh, Vinícius D. Mayrink:
Degree selection methods for curve estimation via Bernstein polynomials. 1-26 - Hanji He, Jianfeng He, Liwei Zhang:
Imbalanced data sampling design based on grid boundary domain for big data. 27-64 - Saeid Amiri, Reza Modarres:
A subspace aggregating algorithm for accurate classification. 65-86 - Shuquan Yang, Nengxiang Ling:
Robust estimation of functional factor models with functional pairwise spatial signs. 87-110 - Sanyu Zhou, Yu Zhang:
Simultaneous confidence bands for multiple comparisons of several percentile lines. 111-123 - Jodi Treszoks, Suvra Pal:
Likelihood inference for unified transformation cure model with interval censored data. 125-151 - Zhijian Li, Tiejun Tong, Yuedong Wang:
A difference-based method for testing no effect in nonparametric regression. 153-176 - Tong Zhou, Rui Pan, Junfei Zhang, Hansheng Wang:
An attribute-based Node2Vec model for dynamic community detection on co-authorship network. 177-204 - Jiacheng Xue, Weixin Yao, Sijia Xiang:
Machine learning embedded EM algorithms for semiparametric mixture regression models. 205-224 - Lian-Qiang Yang, Wanli Yuan, Shijie Wang:
Modal regression models based on B-splines. 225-248 - Mongkol Hunkrajok, Wanrudee Skulpakdee:
A simple algorithm for computing the probabilities of count models based on pure birth processes. 249-272 - Zwelakhe Magagula, Jean-Claude Malela-Majika, Schalk William Human, Philippe Castagliola, Kashinath Chatterjee, Christos Koukouvinos:
Closed-form expressions of the run-length distribution of the nonparametric double sampling precedence monitoring scheme. 273-299 - Ufuk Beyaztas, Han Lin Shang, Semanur Saricam:
Penalized function-on-function linear quantile regression. 301-329 - Ning Su, Yanyan Liu, Lican Kang:
PDAS: a Newton-type method for L0 regularized accelerated failure time model. 331-352 - Shubham Saini:
Advancements in reliability estimation for the exponentiated Pareto distribution: a comparison of classical and Bayesian methods with lower record values. 353-382 - Hamid Mraoui, Ahmed El-Alaoui, Souad Bechrouri, Nezha Mohaoui, Abdelilah Monir:
Two-stage regression spline modeling based on local polynomial kernel regression. 383-403 - Jaromír Antoch, Michal Cerný, Ryozo Miura:
R-estimation in linear models: algorithms, complexity, challenges. 405-439 - Kuo-Jung Lee, Ray-Bing Chen, Keunbaik Lee:
Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data. 441-468 - Roberto Rocci, Maurizio Vichi, Monia Ranalli:
Mixture models for simultaneous classification and reduction of three-way data. 469-507 - Marco Corneli, Elena Erosheva, Xunlei Qian, Marco Lorenzi:
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures. 509-545 - Xiaohui Liu, Yuzi Liu, Petra Laketa, Stanislav Nagy, Yuting Chen:
Exact and approximate computation of the scatter halfspace depth. 547-572 - Hyejoon Park, Hyunjoong Kim, Yung-Seop Lee:
Maximizing adjusted covariance: new supervised dimension reduction for classification. 573-599
Volume 40, Number 2, February 2025
- Deborah Kanda, Jingjing Yin, Xinyan Zhang, Hani M. Samawi:
Efficient regression analyses with zero-augmented models based on ranking. 601-632 - Luai Al Labadi, Zhirui Chu, Ying Xu:
Advancements in Rényi entropy and divergence estimation for model assessment. 633-650 - Akurathi Jayanagasri, S. Anjana:
Semiparametric analysis of competing risks data with covariate measurement error. 651-682 - Joanna Janczura:
Expectile regression averaging method for probabilistic forecasting of electricity prices. 683-700 - Frank Weber, Änne Glass, Aki Vehtari:
Projection predictive variable selection for discrete response families with finite support. 701-721 - Yi Wu, Wei Wang, Wei Yu, Xuejun Wang:
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data. 723-743 - Shinjune Kim, Youngjae Oh, Johan Lim, DoHwan Park, Erin M. Green, Mark L. Ramos, Jaesik Jeong:
Double truncation method for controlling local false discovery rate in case of spiky null. 745-766 - Guanpeng Wang, Hengjian Cui:
High dimensional T-type Estimator for robust covariance matrix estimation with applications to elliptical factor models. 767-794 - Shijing Si, Jia-Wen Gu, Maozai Tian:
Leveraging single-case results to Bayesian hierarchical modelling. 795-819 - Muhammed Rasheed Irshad, Muhammed Ahammed, R. Maya:
Monitoring mean of INAR(1) process with discrete mixture exponential innovations. 821-862 - Fangyuan Kang, Jianxi Zhao:
A time-varying coefficient rate model with intermittently observed covariates for recurrent event data. 863-882 - Liwen Wang, Yongda Wang, Shifeng Xiong, Jiankui Yang:
Some aspects of nonlinear dimensionality reduction. 883-906 - Hyunman Sim, Sungjeong Lee, Bo-Hyung Kim, Eun Shin, Woojoo Lee:
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test. 907-927 - Peter C. Austin:
Multiple imputation with competing risk outcomes. 929-949 - Ting Wang, Liya Fu, Yanan Song:
Variable selection and structure identification for additive models with longitudinal data. 951-975 - Hang Zou, Xiaowen Huang, Yunlu Jiang:
Robust variable selection for additive coefficient models. 977-997 - Suthakaran Ratnasingam, Ramadha D. Piyadi Gamage:
Empirical likelihood change point detection in quantile regression models. 999-1020 - Yonghui Liu, Jiawei Lu, Gilberto A. Paula, Shuangzhe Liu:
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors. 1021-1051 - Davood Poursina, B. Wade Brorsen:
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging. 1053-1069 - Nicholas Spyrison, Dianne Cook, Przemyslaw Biecek:
Exploring local explanations of nonlinear models using animated linear projections. 1071-1095 - Emilie Lebarbier, Nicolas Marie, Amélie Rosier:
Trend of high dimensional time series estimation using low-rank matrix factorization: heuristics and numerical experiments via the TrendTM package. 1097-1122 - Cristina Tortora, Francesco Palumbo:
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods. 1123-1146
Volume 40, Number 3, March 2025
- Fahimeh Tourani-Farani, Zeynab Aghabazaz, Iraj Kazemi:
A class of transformed joint quantile time series models with applications to health studies. 1147-1170 - Zeytu Gashaw Asfaw, Patrick E. Brown, Jamie Stafford:
The root-Gaussian Cox Process for spatial-temporal disease mapping with aggregated data. 1171-1184 - Taiane Schaedler Prass, Guilherme Pumi, Cleiton Guollo Taufemback, Jonas Hendler Carlos:
Positive time series regression models: theoretical and computational aspects. 1185-1215 - Ting-Wu Wang, Eric J. Beh, Rosaria Lombardo, Ian W. Renner:
Profile transformations for reciprocal averaging and singular value decomposition. 1217-1251 - Xue Wang, Jing Lu, Jiwei Zhang:
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. 1253-1284 - Lei Ge, Yang Li, Jianguo Sun:
Semiparametric regression analysis of panel binary data with an informative observation process. 1285-1309 - Yu Du, Yi Sun, Luyao Tan:
Ordinal causal discovery based on Markov blankets. 1311-1335 - Maria Thurow, Thilo Welz, Eric Knop, Tim Friede, Markus Pauly:
Robust confidence intervals for meta-regression with interaction effects. 1337-1360 - Raul Bag, Bruno Spilak, Julian Winkel, Wolfgang Karl Härdle:
Quantinar: a blockchain peer-to-peer ecosystem for modern data analytics. 1361-1396 - Majnu John, Sujit Vettam, Yihren Wu:
A novel nonconvex, smooth-at-origin penalty for statistical learning. 1397-1422 - Yoshio Takane, Eric J. Beh, Rosaria Lombardo:
A theory of contrasts for modified Freeman-Tukey statistics and its applications to Tukey's post-hoc tests for contingency tables. 1423-1446 - Alex de la Cruz Huayanay, Jorge L. Bazán, Cibele M. Russo:
Performance of evaluation metrics for classification in imbalanced data. 1447-1473 - Julien Gibaud, Xavier Bry, Catherine Trottier:
Generalized linear model based on latent factors and supervised components. 1475-1516 - Valeria Policastro, Matteo Magnani, Claudia Angelini, Annamaria Carissimo:
INet for network integration. 1517-1539 - Li-Hsien Sun, Yu-Kai Wang, Lien-Hsi Liu, Takeshi Emura, Chi-Yang Chiu:
Change point estimation for Gaussian time series data with copula-based Markov chain models. 1541-1581 - Thomas Suesse, Alexander Brenning:
A precise and efficient exceedance-set algorithm for detecting environmental extremes. 1583-1595 - Junchen Li:
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting. 1597-1620 - Tommy Löfstedt:
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression. 1621-1642 - Ranran Chen, Mai Dao, Keying Ye, Min Wang:
Bayesian adaptive lasso quantile regression with non-ignorable missing responses. 1643-1682
Volume 40, Number 4, April 2025
- Pierpaolo D'Urso, Michele Gallo, Paola Zuccolotto:
Editorial: special issue on sports data science. 1683-1688 - Pierpaolo D'Urso, Livia De Giovanni, Lorenzo Federico, Vincenzina Vitale:
Network and attribute-based clustering of tennis players and tournaments. 1689-1712 - Lucas Y. Wu, Tim B. Swartz:
A new metric for pitch control based on an intuitive motion model. 1713-1730 - Mirko Luigi Carlesso, Andrea Cappozzo, Marica Manisera, Paola Zuccolotto:
Scoring probability maps in the basketball court with Indicator Kriging estimation. 1731-1751 - Mariaelena Bottazzi Schenone, Roberto Rocci, Maurizio Vichi:
Generalized Reduced K-Means. 1753-1778 - Antonello D'Ambra, Pietro Amenta, Antonio Lucadamo:
Multivariate approaches to investigate the home and away behavior of football teams playing football matches. 1779-1799 - Riccardo Zanardelli, Maurizio Carpita, Marica Manisera:
Statistical models for classification by handedness of Olympic Trap shooters in digital training services and remote coaching. 1801-1823 - Edward Gunning, Steven Golovkine, Andrew J. Simpkin, Aoife Burke, Sarah Dillon, Shane Gore, Kieran Moran, Siobhan O'Connor, Enda White, Norma Bargary:
Analysing kinematic data from recreational runners using functional data analysis. 1825-1847 - Roy Cerqueti, Raffaele Mattera, Valerio Ficcadenti:
Kendall correlations and radar charts to include goals for and goals against in soccer rankings. 1849-1872 - Nina Deliu, Brunero Liseo:
A copula-based Bayesian framework for doping detection. 1873-1898 - Roberto Macrì Demartino, Leonardo Egidi, Nicola Torelli:
Alternative ranking measures to predict international football results. 1899-1917 - Johan Lyhagen:
The home advantage and COVID-19: the crowd support effect on the english football premier league and the championship. 1919-1932 - Gianpaolo Zammarchi, Claudia Pisanu:
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis. 1933-1958 - Anirban Dutta, Hemanta Saikia, Jonali Gogoi, Dibyojyoti Bhattacharjee:
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives. 1959-1984 - Ambra Macis:
The role of the frailty in the evaluation of injury risk factors for National Basketball Association players. 1985-2003 - Nishad Wajge, Gautier Stauffer:
Should sports professionals consider their adversary's strategy? A case study of match play in golf. 2005-2029 - Luca Scrucca, Dimitris Karlis:
A model-based approach to shot charts estimation in basketball. 2031-2048 - Kristijan Breznik, Vincenzo Candila, Antonina Milekhina, Marialuisa Restaino:
Eras of dominance: identifying strong and weak periods in professional tennis. 2049-2066 - Kangyi Ken Peng, X. Joan Hu, Tim B. Swartz:
On the time of corner kicks in soccer: an analysis of event history data. 2067-2083 - Marco Ortu, Francesco Mola:
The game beyond the field: on football players' performance through social media, sentiment and topic analysis. 2085-2108 - Ilias Leriou, Ioannis Ntzoufras:
Survival modeling of goal arrival times in English premier league. 2109-2133 - Mattia Cefis, Maurizio Carpita:
On the CTA-PLS test for hierarchical models: an application to the football player's performance. 2135-2155 - Argyro Damoulaki, Ioannis Ntzoufras, Konstantinos Pelechrinis:
Lasso multinomial performance indicators for in-play basketball data. 2157-2181 - Florian Felice:
Ranking handball teams from statistical strength estimation. 2183-2194 - Gabriel Calvo, Carmen Armero, Luigi Spezia:
Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach. 2195-2222 - Alejandro Álvarez, Alejandro Cataldo, Guillermo Durán, Manuel Durán, Pablo Galaz-Cares, Iván Monardo, Denis Sauré:
Data science approach to simulating the FIFA World Cup Qatar 2022 at a website in tribute to Maradona. 2223-2247
Volume 40, Number 5, June 2025
- Ankur Chakraborty, Nabakumar Jana:
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification. 2249-2276 - Geoffrey Ecoto, Aurélien F. Bibaut, Antoine Chambaz:
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data. 2277-2321 - Kaida Cai, Xuewen Lu, Hua Shen:
Group sparse sufficient dimension reduction: a model-free group variable selection method. 2323-2366 - Na Li, Jing Yang:
A fast divide-and-conquer strategy for single-index model with massive data. 2367-2387 - Javier E. Flores, Joseph E. Cavanaugh, Andrew A. Neath:
A new class of information criteria for improved prediction in the presence of training/validation data heterogeneity. 2389-2423 - Ruijie Guan, Junjun Jiao, Weihu Cheng, Guozhi Hu:
A novel finite mixture model based on the generalized scale mixtures of asymmetric generalized normal distributions: properties, estimation methodology and applications. 2425-2470 - Alaaeldin Mohamed Dyab, Hiba Zeyada Muhammed:
Correction to: Bayesian estimation of the number of species from Poisson-Lindley stochastic abundance model using non-informative priors. 2471-2489 - Daniel Andrade, Koki Sato:
On the effectiveness of partially deterministic Bayesian neural networks. 2491-2518 - Pei Wang, Jing Lu, Jiaying Weng, Shouryya Mitra:
Conditional sufficient variable selection with prior information. 2519-2551 - Konstantinos Konstantinou, Tomás Mrkvicka, Mari Myllymäki:
The power of visualizing distributional differences: formal graphical n-sample tests. 2553-2582 - Yujian Liu, Dejun Xie, Siyi Yu:
Copula hidden Markov model with unknown number of states. 2583-2610 - Yang Jing-Nan, Yuzhu Tian, Wang Yue, Wu Chun-Ho:
Multiple-response logistic regression modeling with application to an analysis of cirrhosis liver disease data. 2611-2634 - Shubham Agnihotri, Sanjay Kumar Singh, Umesh Singh:
Bayesian inferences and prediction of exponentiated exponential distribution based on multiple interval censored data. 2635-2655 - Jiaxin Zhang, Wenhao Gui:
Order restricted inference for Chen life time populations under progressive type-II censoring scheme with partially observed competing risks. 2657-2699 - Manuel Febrero-Bande, Manuel Oviedo de la Fuente, Mohammad Darbalaei, Morteza Amini:
Functional regression models with functional response: a new approach and a comparative study. 2701-2727 - Ehsan Zamanzade, Hadi Saboori, Hani M. Samawi:
Efficient estimation of a disease prevalence using auxiliary ranks information. 2729-2748 - Joseph Mathews, Giri Gopalan, James Gattiker, Sean Smith, Devin Francom:
Sequential Monte Carlo for cut-Bayesian posterior computation. 2749-2779 - Håkon Gryvill, Håkon Tjelmeland:
Ensemble Kalman filter with precision localization. 2781-2805 - Danielle Van Boxel:
BARMPy: Bayesian additive regression models Python package. 2807-2824 - Tarn Duong:
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package. 2825-2847
Volume 40, Number 6, July 2025
- David Fernando Muñoz, Verónica Andrea González-López, Jürgen Symanzik:
Editorial on the special issue on the V Latin American conference on statistical computing. 2849-2856 - Arturo Javier Diaz Pulido, Alvaro Eduardo Cordero-Franco, Víctor Gustavo Tercero-Gómez:
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions. 2857-2875 - David Han, Tianyu Bai:
Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring. 2877-2905 - Carlos Rondero-Guerrero, Isidro Jesús González-Hernández, Carlos Soto-Campos:
An extended approach for the generalized powered uniform distribution. 2907-2930 - Juan José Fernández-Durán, María Mercedes Gregorio-Domínguez:
Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data. 2931-2954 - Armando Tapia, Silvestre L. González, Jose R. Vergara, Mariano Villafuerte, Luis V. Montiel:
Policy evaluation using model over-fitting: the Nordic case. 2955-2980 - Marco Antonio Montúfar-Benítez, Jaime Mora-Vargas, Carlos Arturo Soto-Campos, Gilberto Pérez-Lechuga, José Raúl Castro Esparza:
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico. 2981-3006 - Eduardo Schneider Bueno de Oliveira, Mário de Castro, Cristian L. Bayes, Jorge L. Bazán:
Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler. 3007-3040 - David F. Muñoz:
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem. 3041-3065 - Mario Vazquez Corte, Luis V. Montiel:
Novel matrix hit and run for sampling polytopes and its GPU implementation. 3067-3104 - Natalia da Silva, Dianne Cook, Eun-Kyung Lee:
Interactive graphics for visually diagnosing forest classifiers in R. 3105-3125 - Adelyn Fleming, Joanna D. Coltrin, Jhonatan Medri, Cody Hilyard, Rigoberto Tellez, Jürgen Symanzik:
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. 3127-3151 - Jesús Enrique García, Verónica Andrea González-López, Gustavo Henrique Tasca:
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. 3153-3189 - Nuno M. Brites, Carlos A. Braumann:
Moments and probability density of threshold crossing times for populations in random environments under sustainable harvesting policies. 3191-3203 - Luísa Novais, Susana Faria:
Robust order selection of mixtures of regression models with random effects. 3205-3228 - Gustavo L. Di Giorgi, Rodrigo Salas, Rodrigo H. Avaria, Cristian Ubal, Harvey Rosas, Romina Torres:
Volatility forecasting using deep recurrent neural networks as GARCH models. 3229-3255 - Mohammad Kazemi, Paulo Canas Rodrigues:
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting. 3257-3289 - Alba Martinez-Ruiz, Natale Carlo Lauro:
Incremental singular value decomposition for some numerical aspects of multiblock redundancy analysis. 3291-3319 - Walter Otoniel Campos Granados:
Analysis of excess deaths from COVID-19 in El Salvador through time series. 3321-3357
Volume 40, Number 7, September 2025
- Shuyu Meng, Zhensheng Huang, Nengxiang Ling:
kNN estimators for time series prediction: a functional partial linear single index model with missing responses and error-prone covariates. 3359-3384 - Iulii Vasilev, Mikhail Petrovskiy, Igor V. Mashechkin:
Informative right censoring in nonparametric survival models. 3385-3397 - Jon Devlin, Agnieszka Borowska, Dirk Husmeier, John A. Mackenzie:
Approximate Bayesian inference in a model for self-generated gradient collective cell movement. 3399-3452 - Ayman A. Amin:
Bayesian modeling and forecasting of seasonal autoregressive models with scale-mixtures of normal errors. 3453-3475 - Pao-sheng Shen:
Testing non-inferiority for three-arm trials under the PH model. 3477-3503 - Dayasri Ravi, Andreas Groll:
A Newton-based variant of Exclusive Lasso for improved sparse solutions. 3505-3525 - Muhammad Jaffri Mohd Nasir, R. Nazim Khan, Gopalan M. Nair, Darfiana Nur:
Coordinate gradient descent algorithm in adaptive LASSO for pure ARCH and pure GARCH models. 3527-3561 - Xinwen Ni, Taojun Xie, Wolfgang Karl Härdle, Xiaorui Zuo:
A machine learning based regulatory risk index for cryptocurrencies. 3563-3583 - Takayuki Yamada, Tetsuro Sakurai, Yasunori Fujikoshi:
Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting. 3585-3611 - Mourad Zribi, Ibrahim Sadok, Bassel Marhaba:
Kernel-Diffeomorphism Bayesian Bootstrap Filter to reduce speckle noise on SAR images. 3613-3643 - Lea M. Dammann, Marei Freitag, Anton Thielmann, Benjamin Säfken:
Gradient-based smoothing parameter estimation for neural P-splines. 3645-3663 - Samrad Jafarian-Namin, Parviz Fattahi, Ali Salmasnia:
Assessing the economic-statistical performance of variable acceptance sampling plans based on loss function. 3665-3713 - Olga Savchuk:
On practical implementation of the fully robust one-sided cross-validation method in the nonparametric regression and density estimation contexts. 3715-3743 - Hee-Geon Kang, Sunggon Kim:
An adaptive importance sampling for locally stable point processes. 3745-3779 - Chatany Swaroop, Subhankar Dutta, Shubham Saini, Neeraj Tiwari:
Estimation of stress-strength reliability for the generalized inverted exponential distribution based on improved adaptive Type-II progressive censoring. 3781-3817 - Yan Gao, Rodney A. Sparapani, Sergey Tarima:
Accelerated fitting of joint models of survival and longitudinal data with cumulative variations. 3819-3842 - Alejandro Román Vásquez, José Ulises Márquez Urbina, Graciela González-Farías, Gabriel Escarela:
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate. 3843-3866 - Qiuchen Hai, Zhuanzhuan Ma:
Bayesian nonparametric hypothesis testing methods on multiple comparisons. 3867-3882 - Nicholas C. Henderson, Zhongzhe Ouyang:
Parameter-expanded ECME algorithms for logistic and penalized logistic regression. 3883-3909 - Kohei Adachi:
Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model. 3911-3946 - Ming Cai, Hisayuki Hara:
Learning causal graphs using variable grouping according to ancestral relationship. 3947-3979 - Chengxin Wu, Nengxiang Ling:
Partially functional linear expectile regression model with missing observations. 3981-4005 - Seungkyu Kim, Johan Lim, Donghyeon Yu:
Synthetic data generation method providing enhanced covariance matrix estimation. 4007-4035 - Xiaoyu Liu, Yan Song, Hong-Fa Cheng, Kun Zhang:
A bootstrap-based bandwidth selection rule for kernel quantile estimators. 4037-4058
Volume 40, Number 8, November 2025
- Natalia da Silva, Ignacio Alvarez-Castro, Leonardo Moreno, Andrés Sosa:
SpICE: an interpretable method for spatial data. 4059-4079 - Patrícia Stülp, Jorge Luis Bazán, Luis Hilmar Valdivieso Serrano:
A new quantile regression model for bounded responses with applications. 4081-4113 - Led Red Teh, Vicente Garibay Cancho, Josemar Rodrigues:
Modeling of long-term survival data with unobserved dispersion via neural network. 4115-4137 - Ilaria Lucrezia Amerise:
Iterative weighted LAD estimation with homoskedasticity testing using the Gini concentration index. 4139-4161 - Hasnain Iftikhar, Faridoon Khan, Elías A. Torres Armas, Paulo Canas Rodrigues, Javier Linkolk López-Gonzales:
A novel hybrid framework for forecasting stock indices based on the nonlinear time series models. 4163-4186 - Tiantian Sun, Xiaofei Peng, Wenxiu Ge, Weiwei Xu:
An improved preconditioned unsupervised K-means clustering algorithm. 4187-4207 - Xiongya Li, Xiuqin Bai, Weixing Song:
Robust mixture of linear mixed modeling via multivariate Laplace distribution. 4209-4230 - Rosa Arboretti, Elena Barzizza, Riccardo Ceccato:
Finding exclusive peak with permutation testing. 4231-4246 - Yuxin Zhang, Jie Liu, Yang Yang:
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models. 4247-4275 - Nastaran Marzban Vaselabadi, Saeid Tahmasebi, Reza Mohammadi, Hamid Karamikabir:
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior. 4277-4305 - Amanda Lenzi, Haavard Rue:
Towards black-box parameter estimation. 4307-4329 - Yan Zhang, Rui Pan, Feifei Wang, Kuangnan Fang, Hansheng Wang:
Network embedding for bipartite networks with applications in interlocking directorates in Chinese companies. 4331-4366 - Jungwun Lee, Margaret Lloyd Sieger, Jon D. Phillips:
A latent class pattern mixture model for nonignorable nonresponses in multivariate categorical data. 4367-4397 - Owen Thomas, Raquel Sá-Leão, Hermínia de Lencastre, Samuel Kaski, Jukka Corander, Henri Pesonen:
Misspecification-robust likelihood-free inference in high dimensions. 4399-4439 - Anu Susan George, G. Asha:
The corrected likelihood approach for adjusting measurement error in Cox's model. 4441-4474 - Shaun McDonald, Alexandre Leblanc, Saman Muthukumarana, David Campbell:
FRODO: a novel approach to micro-macro multilevel regression. 4475-4514 - Yan Chen, Caiyun Fan, Feipeng Zhang:
Linear-quadratic quantile regression model with a change point due to a threshold covariate. 4515-4564 - Cornelia Fuetterer, Malte Nalenz, Thomas Augustin, Ruth M. Pfeiffer:
A powerful penalized multinomial logistic regression approach. 4565-4587 - Yichen Jia, Jong-Hyeon Jeong:
DeepCENT: prediction of censored event time via deep learning. 4589-4605 - Pierdomenico Duttilo, Stefano Antonio Gattone:
Enhancing parameter estimation in finite mixture of generalized normal distributions. 4607-4634 - Sebastian Appelbaum, Thomas Ostermann, Uwe Konerding:
Maximum likelihood estimation of parameters for double poisson regression: a simulation study. 4635-4673 - Mame Diarra Fall, Eric Barat:
A simple and efficient method for sampling mixture models based on Dirichlet and Pitman-Yor processes. 4675-4716 - Ebru Öztürk, Ergun Karaagaoglu, Jale Karakaya:
Determining the uncertain boundaries of the diagnostics tests by using information criteria. 4717-4739 - Alexandra Daub, Andreas Mayr, Boyao Zhang, Elisabeth Bergherr:
A balanced statistical boosting approach for GAMLSS via new step lengths. 4741-4773 - Divan A. Burger, Sean van der Merwe, Emmanuel Lesaffre:
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness. 4775-4798 - Luca Martino, Fernando Llorente:
A note on the area under the likelihood and the fake evidence for model selection. 4799-4824 - Emiliano Seri, Roberto Rocci, Thomas Brendan Murphy:
Partial membership models for soft clustering of multivariate football player performance data. 4825-4852 - Zhiqiang Wang, Ying Wu:
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data. 4853-4874
Volume 40, Number 9, December 2025
- Satya Prakash Singh, Deepak Prajapati:
Bayesian optimal design for 2 ˟ 2 binary crossover trials using copula. 4875-4900 - Xiaohui Yuan, Shiting Zhou, Yue Wang:
Optimal subsampling algorithm for composite quantile regression with distributed data. 4901-4936 - David F. Muñoz:
Comparison of five estimation methods for the parameters of the Johnson unbounded distribution using simulated and real-data samples. 4937-4968 - Fernando Baltazar-Larios, Luz Judith R. Esparza:
A novel method and comparison of methods for constructing Markov bridges. 4969-4990 - Peiyao Wang, Wei Ning:
Nonparametric CUSUM change-point detection procedures based on modified empirical likelihood. 4991-5021 - Felipe Leite Coelho da Silva, Josiane da Silva Cordeiro, Kleyton da Costa, Nemias Saboya, Paulo Canas Rodrigues, Javier Linkolk López-Gonzales:
Time series forecasting via integrating a filtering method: an application to electricity consumption. 5023-5042 - Jesús Enrique García, Verónica Andrea González-López, María Magdalena Kcala Álvaro:
Independence tests based on the shape of the Standard Young Tableau. 5043-5074 - Murat Genç, Adewale Folaranmi Lukman:
Weighted LAD-Liu-LASSO for robust estimation and sparsity. 5075-5104 - Henning Zakrisson, Mathias Lindholm:
A tree-based varying coefficient model. 5105-5134 - Sean Hellingman, Zilin Wang, Mary E. Thompson:
Success in the MLS SuperDraft: evaluating player characteristics and performance using mixed effects models. 5135-5161 - Luis Benites, Victor H. Lachos, Heleno Bolfarine, Camila Borelli Zeller:
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions. 5163-5194 - Hengchao Shi, Xinyi Liu, Ming Zheng, Wen Yu:
Statistical inference for case-control logistic regression via integrating external summary data. 5195-5223 - Yarema Okhrin, Viktoriia Petruk, Wolfgang Schmid:
Monitoring time dependent image processes for detecting shifts in pixel intensities. 5225-5256 - Andrea Carta, Luca Frigau:
Tree oblique for regression with weighted support vector machine. 5257-5291 - Abhijit Mandal, Beste Hamiye Beyaztas:
Robust testing based on density power divergence for comparing multiple means in the ANCOVA model. 5293-5314 - Christian H. Weiß, Hee-Young Kim:
Non-parametric entropy tests for spatial dependence. 5315-5352 - Christian H. Weiß, Hee-Young Kim:
Correction: Non-parametric entropy tests for Spatial dependence. 5353-5354 - Fangyuan Kang:
Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates. 5355-5380 - Gautier Stauffer, Matthieu Guillot:
Golf strategy optimization and the "Drive for show, putt for dough" adage. 5381-5415 - Yang Zhao:
A general semiparametric maximum likelihood method for Cox regression models with nonmonotone missing at random covariates. 5417-5432 - Luca Martino, Víctor Elvira:
Effective sample size approximations as entropy measures. 5433-5464 - Aylin Alin:
Weighted robust hybrid partial least squares regression forest. 5465-5490 - Lucio Palazzo, Riccardo Ievoli, Roberto Rondinelli, Giancarlo Ragozini:
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks. 5491-5517 - Colin Griesbach, Tobias Hepp:
Improved confidence intervals for finite mixture regression based on resampling techniques. 5519-5535 - Dipti Pandit, Sangeeta Jadhav:
Voting based optimized deep ensemble model: an effective visual and textual fusion for recognition of face emotions. 5537-5572 - Anna Bonnet, Charlotte Dion-Blanc, Maya Sadeler Perrin:
Testing procedures based on maximum likelihood estimation for marked Hawkes processes. 5573-5615 - R. Janefer Beula, A. Boyed Wesley:
Adaptive Kernel-Based Serial and Parallel U-Net Architectures for the Segmentation of Lung Nodules. 5617-5647 - Jong-Min Kim, Il Do Ha, Sangjin Kim:
Deep learning-based survival analysis with copula-based activation functions for multivariate response prediction. 5649-5676 - Yue Chen, Peng Lin, Baoxue Zhang:
A locally sequentially reweighted gradient descent estimator to enhance statistical efficiency for decentralized federated learning. 5677-5728 - Prakash Chandra, Arvind Kumar Alok, Yogesh Mani Tripathi, Liang Wang:
Analysis for left-truncated and right-censored competing risks data from marshall-olkin bivariate generalized lifetime family. 5729-5768 - Daniel Tinoco, Raquel Menezes, Carlos Baquero:
Distributed Generalized Linear Models: A Privacy-Preserving Approach. 5769-5790 - Benjamin Schwendinger, Florian Schwendinger, Laura Vana-Gür:
Automated subset selection via information criteria optimization in generalized linear models. 5791-5831
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