Computational Statistics
2000 - 2025
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Volume 36, issue 4, 2021
- A new algorithm for fitting semi-parametric variance regression models pp. 2313-2335

- Kristy P. Robledo and Ian C. Marschner
- Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients pp. 2337-2377

- Chiara Masci, Francesca Ieva, Tommaso Agasisti and Anna Maria Paganoni
- A multigrid preconditioner for tensor product spline smoothing pp. 2379-2411

- Martin Siebenborn and Julian Wagner
- Penalized spline estimation for panel count data model with time-varying coefficients pp. 2413-2434

- Fei Qin and Zhangsheng Yu
- Additive models with autoregressive symmetric errors based on penalized regression splines pp. 2435-2466

- Rodrigo A. Oliveira and Gilberto A. Paula
- Mixture cure rate models with neural network estimated nonparametric components pp. 2467-2489

- Yujing Xie and Zhangsheng Yu
- A computational method for estimating a change point in the Cox hazard model pp. 2491-2506

- G. Y. Arenas, J. A. Villaseñor, O. Palmeros and F. Tajonar
- Comparison of the EM, CEM and SEM algorithms in the estimation of finite mixtures of linear mixed models: a simulation study pp. 2507-2533

- Luísa Novais and Susana Faria
- Optimal subsample selection for massive logistic regression with distributed data pp. 2535-2562

- Lulu Zuo, Haixiang Zhang, HaiYing Wang and Liuquan Sun
- Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data pp. 2563-2590

- Flavio Santi, Maria Michela Dickson, Diego Giuliani, Giuseppe Arbia and Giuseppe Espa
- Spatial CART classification trees pp. 2591-2613

- Avner Bar-Hen, Servane Gey and Jean-Michel Poggi
- Statistical inference for mixture GARCH models with financial application pp. 2615-2642

- Maddalena Cavicchioli
- A Bayesian algorithm based on auxiliary variables for estimating GRM with non-ignorable missing data pp. 2643-2669

- Jiwei Zhang, Zhaoyuan Zhang and Jian Tao
- Bayesian sparse convex clustering via global-local shrinkage priors pp. 2671-2699

- Kaito Shimamura and Shuichi Kawano
- Partitioned method of valid moment marginal model with Bayes interval estimates for correlated binary data with time-dependent covariates pp. 2701-2718

- Elsa Vazquez and Jeffrey R. Wilson
- Weighted approximate Bayesian computation via Sanov’s theorem pp. 2719-2753

- Cecilia Viscardi, Michele Boreale and Fabio Corradi
- Estimation of the association parameters in hierarchically clustered survival data by nested Archimedean copula functions pp. 2755-2787

- Mirza Nazmul Hasan and Roel Braekers
- Jump Markov chains and rejection-free Metropolis algorithms pp. 2789-2811

- Jeffrey S. Rosenthal, Aki Dote, Keivan Dabiri, Hirotaka Tamura, Sigeng Chen and Ali Sheikholeslami
- Algorithm for error-free determination of the variance of all contiguous subsequences and fixed-length contiguous subsequences for a sequence of industrial measurement data pp. 2813-2840

- Andrzej Chmielowiec
- A new two-parameter discrete poisson-generalized Lindley distribution with properties and applications to healthcare data sets pp. 2841-2861

- Emrah Altun
- Direct statistical inference for finite Markov jump processes via the matrix exponential pp. 2863-2887

- Chris Sherlock
- Automatic differentiation and maximal correlation of order statistics from discrete parents pp. 2889-2915

- Fernando López-Blázquez and Begoña Salamanca-Miño
- Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets pp. 2917-2938

- Maria Lucia Parrella, Giuseppina Albano, Cira Perna and Michele La Rocca
- A computational validation for nonparametric assessment of spatial trends pp. 2939-2965

- A. Meilán-Vila, R. Fernández-Casal, R. M. Crujeiras and M. Francisco-Fernández
- Bayesian joint inference for multivariate quantile regression model with L $$_{1/2}$$ 1 / 2 penalty pp. 2967-2994

- Yu-Zhu Tian, Man-Lai Tang and Mao-Zai Tian
- Correction to: Bayesian joint inference for multivariate quantile regression model with L1/2 penalty pp. 2995-2995

- Yu-Zhu Tian, Man-Lai Tang and Mao-Zai Tian
Volume 36, issue 3, 2021
- On tests for symmetry and radial symmetry of bivariate copulas towards testing for ellipticity pp. 1-26

- Miriam Jaser and Aleksey Min
- The 2016 Data Challenge of the American Statistical Association pp. 1553-1560

- Roya Amjadi and Wendy Martinez
- Predictive modeling of maximum injury severity and potential economic cost in a car accident based on the General Estimates System data pp. 1561-1575

- Gunes Alkan, Robert Farrow, Haichen Liu, Clayton Moore, Hon Keung Tony Ng, Lynne Stokes, Yihan Xu, Ziyuan Xu, Yuzhi Yan and Yifan Zhong
- A hierarchical Bayes approach to adjust for selection bias in before–after analyses of vision zero policies pp. 1577-1604

- Jonathan Auerbach, Christopher Eshleman and Rob Trangucci
- Analysis of drowsy driving: exploring subpopulation risk with weighted contingency table tools pp. 1605-1620

- Patrick Coyle, Chen Chen and Nooreen Dabbish
- A cluster-based taxonomy of bus crashes in the United States pp. 1621-1638

- Dooti Roy, Ved Deshpande and M. Henry Linder
- An analysis of crash-safety ratings and the true assessment of injuries by vehicle pp. 1639-1660

- Cody R. Philips, Robert C. Garrett, Alan J. Tatro and Thomas J. Fisher
- Bi-level variable selection in semiparametric transformation models with right-censored data pp. 1661-1692

- Wenyan Zhong, Xuewen Lu and Jingjing Wu
- Nonparametric estimation of a distribution function from doubly truncated data under dependence pp. 1693-1720

- Carla Moreira, Jacobo de Uña-Álvarez and Roel Braekers
- A comparison of optimization solvers for log binomial regression including conic programming pp. 1721-1754

- Florian Schwendinger, Bettina Grün and Kurt Hornik
- Fast computation and practical use of amplitudes at non-Fourier frequencies pp. 1755-1773

- Erhard Reschenhofer and Manveer K. Mangat
- On matching confidence intervals and tests for some discrete distributions: methodological and computational aspects pp. 1775-1790

- Jan Klaschka and Jenő Reiczigel
- The two-sample problem via relative belief ratio pp. 1791-1808

- Luai Al-Labadi
- On the empirical estimator of the boundary in inverse first-exit problems pp. 1809-1820

- Sercan Gür and Klaus Pötzelberger
- Binary segmentation procedures using the bivariate binomial distribution for detecting streakiness in sports data pp. 1821-1843

- Seong W. Kim, Sabina Shahin, Hon Keung Tony Ng and Jinheum Kim
- On consistency of the monotone NPMLE of survival function under the mixed case interval-censored model with left truncation pp. 1871-1883

- Chun-Lung Su and Pao-sheng Shen
- A chi-square goodness-of-fit test for continuous distributions against a known alternative pp. 1885-1900

- Wolfgang Rolke and Cristian Gutierrez Gongora
- Variational approximation for importance sampling pp. 1901-1930

- Xiao Su and Yuguo Chen
- Linear models for multivariate repeated measures data with block exchangeable covariance structure pp. 1931-1963

- Timothy Opheim and Anuradha Roy
- Bayesian survival analysis for adaptive Type-II progressive hybrid censored Hjorth data pp. 1965-1990

- Ahmed Elshahhat and Mazen Nassar
- Bayesian selection of best subsets via hybrid search pp. 1991-2007

- Shiqiang Jin and Gyuhyeong Goh
- What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis? pp. 2009-2031

- Bruce G. Marcot and Anca M. Hanea
- Bayesian joint-quantile regression pp. 2033-2053

- Yingying Hu, Huixia Judy Wang, Xuming He and Jianhua Guo
- Bayesian spectral density estimation using P-splines with quantile-based knot placement pp. 2055-2077

- Patricio Maturana-Russel and Renate Meyer
- Objective Bayesian analysis for generalized exponential stress–strength model pp. 2079-2109

- Sang Gil Kang, Woo Dong Lee and Yongku Kim
- Estimation of parameters of logistic regression for two-stage randomized response technique pp. 2111-2133

- Pei-Chieh Chang, Kim-Hung Pho, Shen-Ming Lee and Chin-Shang Li
- Decomposition of the Gini index by income source for aggregated data and its applications pp. 2135-2159

- Bin Shao
- Uncertainty quantification and estimation of closed curves based on noisy data pp. 2161-2176

- Luming Chen and Sujit K. Ghosh
- Testing a parameter restriction on the boundary for the g-and-h distribution: a simulated approach pp. 2177-2200

- Marco Bee, Julien Hambuckers, Flavio Santi and Luca Trapin
- Maximum likelihood estimation for scale-shape mixtures of flexible generalized skew normal distributions via selection representation pp. 2201-2230

- Abbas Mahdavi, Vahid Amirzadeh, Ahad Jamalizadeh and Tsung-I Lin
- Double threshold receiver operating characteristic plot for three-modal continuous predictors pp. 2231-2245

- Arthur De Sá Ferreira, Ney Meziat-Filho and Ana Paula Antunes Ferreira
- Moving dynamic principal component analysis for non-stationary multivariate time series pp. 2247-2287

- Fayed Alshammri and Jiazhu Pan
- A new computational approach for estimation of the Gini index based on grouped data pp. 2289-2311

- Tatjana Miljkovic and Ying-Ju Chen
Volume 36, issue 2, 2021
- Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis pp. 781-804

- Liya Fu, Zhuoran Yang, Fengjing Cai and You-Gan Wang
- Robust estimation and variable selection in heteroscedastic regression model using least favorable distribution pp. 805-827

- Yeşim Güney, Yetkin Tuaç, Şenay Özdemir and Olcay Arslan
- Variable selection in partially linear additive hazards model with grouped covariates and a diverging number of parameters pp. 829-855

- Arfan Raheen Afzal, Jing Yang and Xuewen Lu
- Feature screening based on distance correlation for ultrahigh-dimensional censored data with covariate measurement error pp. 857-884

- Li-Pang Chen
- An efficient algorithm for joint feature screening in ultrahigh-dimensional Cox’s model pp. 885-910

- Xiaolin Chen, Catherine Chunling Liu and Sheng Xu
- A partial least squares approach for function-on-function interaction regression pp. 911-939

- Ufuk Beyaztas and Han Lin Shang
- A stationary bootstrap test about two mean vectors comparison with somewhat dense differences and fewer sample size than dimension pp. 941-960

- Zhengbang Li, Fuxiang Liu, Luanjie Zeng and Guoxin Zuo
- Outlier detection under a covariate-adjusted exponential regression model with censored data pp. 961-976

- Yingli Pan, Zhan Liu and Guangyu Song
- Goodness-of-fit testing of survival models in the presence of Type–II right censoring pp. 977-1010

- M. Cockeran, S. G. Meintanis, L. Santana and J. S. Allison
- Obtaining a threshold for the stewart index and its extension to ridge regression pp. 1011-1029

- Ainara Rodríguez Sánchez, Román Salmerón Gómez and Catalina García García
- Compositional splines for representation of density functions pp. 1031-1064

- Jitka Machalová, Renáta Talská, Karel Hron and Aleš Gába
- A method for computing tolerance intervals for a location-scale family of distributions pp. 1065-1092

- Ngan Hoang-Nguyen-Thuy and K. Krishnamoorthy
- Designing robust modified R control charts for asymmetric distributions under ranked set and median ranked set sampling pp. 1093-1121

- Nursel Koyuncu and Derya Karagöz
- On the exact distribution of the likelihood ratio test statistic for testing the homogeneity of the scale parameters of several inverse Gaussian distributions pp. 1123-1138

- Mahmood Kharrati-Kopaei
- Comprehensive world university ranking based on ranking aggregation pp. 1139-1152

- Yang Zhang, Yu Xiao, Jun Wu and Xin Lu
- Estimation of a CIR process with jumps using a closed form approximation likelihood under a strong approximation of order 1 pp. 1153-1176

- Patrice Takam Soh, Eugene Kouassi, Renaud Fadonougbo and Martin Kegnenlezom
- Unconstrained representation of orthogonal matrices with application to common principal components pp. 1177-1195

- Luca Bagnato and Antonio Punzo
- Simultaneous confidence bands for comparing variance functions of two samples based on deterministic designs pp. 1197-1218

- Chen Zhong and Lijian Yang
- Genetic algorithm approach with an adaptive search space based on EM algorithm in two-component mixture Weibull parameter estimation pp. 1219-1242

- Muhammet Burak Kılıç, Yusuf Şahin and Melih Burak Koca
- Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models pp. 1243-1261

- Paul-Christian Bürkner, Jonah Gabry and Aki Vehtari
- Analysis of type I and II error rates of Bayesian and frequentist parametric and nonparametric two-sample hypothesis tests under preliminary assessment of normality pp. 1263-1288

- Riko Kelter
- Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm’s bond ratings pp. 1289-1319

- Yu-Zhu Tian, Man-Lai Tang, Wai-Sum Chan and Mao-Zai Tian
- Bayesian analysis of restricted penalized empirical likelihood pp. 1321-1339

- Mahdieh Bayati, Seyed Kamran Ghoreishi and Jingjing Wu
- Bayesian wavelet shrinkage with beta priors pp. 1341-1363

- Alex Rodrigo dos S. Sousa, Nancy L. Garcia and Brani Vidakovic
- Bayesian Multiple Change-Points Detection in a Normal Model with Heterogeneous Variances pp. 1365-1390

- Sang Gil Kang, Woo Dong Lee and Yongku Kim
- Variables skip-lot sampling plans on the basis of process capability index for products with a low fraction of defectives pp. 1391-1413

- Chien-Wei Wu, Ming-Hung Shu, Pei-An Wang and Bi-Min Hsu
- On the transition laws of p-tempered $$\alpha $$ α -stable OU-processes pp. 1415-1436

- Michael Grabchak
- Asymmetric vector moving average models: estimation and testing pp. 1437-1460

- Jan G. Gooijer
- Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data pp. 1461-1479

- Chunzheng Cao, Ming He, Jian Qing Shi and Xin Liu
- Factor dimension determination for panel interactive effects models: an orthogonal projection approach pp. 1481-1497

- Cheng Hsiao, Yimeng Xie and Qiankun Zhou
- Integrative analysis of multiple types of genomic data using an accelerated failure time frailty model pp. 1499-1532

- Shirong Deng, Jie Chen and Huidong Shi
- Improved approximate Bayesian computation methods via empirical likelihood pp. 1533-1552

- Tatiana Dmitrieva, Kristin McCullough and Nader Ebrahimi
Volume 36, issue 1, 2021
- Greedy clustering of count data through a mixture of multinomial PCA pp. 1-33

- Nicolas Jouvin, Pierre Latouche, Charles Bouveyron, Guillaume Bataillon and Alain Livartowski
- Clustering method for censored and collinear survival data pp. 35-60

- Silvia Liverani, Lucy Leigh, Irene L. Hudson and Julie E. Byles
- Transformation mixture modeling for skewed data groups with heavy tails and scatter pp. 61-78

- Yana Melnykov, Xuwen Zhu and Volodymyr Melnykov
- Recursive non-parametric kernel classification rule estimation for independent functional data pp. 79-112

- Yousri Slaoui
- Two generalized nonparametric methods for estimating like densities pp. 113-126

- Zongyuan Shang and Alan Ker
- A new way for ranking functional data with applications in diagnostic test pp. 127-154

- Graciela Estévez-Pérez and Philippe Vieu
- Adaptive spline fitting with particle swarm optimization pp. 155-191

- Soumya D. Mohanty and Ethan Fahnestock
- Estimation of parameters in multivariate wrapped models for data on a p-torus pp. 193-215

- Anahita Nodehi, Mousa Golalizadeh, Mehdi Maadooliat and Claudio Agostinelli
- Usage of the GO estimator in high dimensional linear models pp. 217-239

- Murat Genç and M. Revan Özkale
- A Bayesian quantile regression approach to multivariate semi-continuous longitudinal data pp. 241-260

- Jayabrata Biswas and Kiranmoy Das
- Bayesian inference of nonlinear hysteretic integer-valued GARCH models for disease counts pp. 261-281

- Cathy W. S. Chen, Sangyeol Lee and K. Khamthong
- KLERC: kernel Lagrangian expectile regression calculator pp. 283-311

- Songfeng Zheng
- Computation of the expected value of a function of a chi-distributed random variable pp. 313-332

- Paul Kabaila and Nishika Ranathunga
- Advanced algorithms for penalized quantile and composite quantile regression pp. 333-346

- Matthew Pietrosanu, Jueyu Gao, Linglong Kong, Bei Jiang and Di Niu
- Robust weighted Gaussian processes pp. 347-373

- Ruben Ramirez-Padron, Boris Mederos and Avelino J. Gonzalez
- Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model pp. 375-408

- Achim Dörre, Chung-Yan Huang, Yi-Kuan Tseng and Takeshi Emura
- The 8-parameter Fisher–Bingham distribution on the sphere pp. 409-420

- Tianlu Yuan
- Correction to: The 8-parameter Fisher–Bingham distribution on the sphere pp. 421-421

- Tianlu Yuan
- Finite mixtures of skew Laplace normal distributions with random skewness pp. 423-447

- Fatma Zehra Doğru and Olcay Arslan
- Optimal imputation of the missing data using multi auxiliary information pp. 449-477

- Shashi Bhushan and Abhay Pratap Pandey
- Inference and optimal censoring scheme for progressively Type-II censored competing risks model for generalized Rayleigh distribution pp. 479-513

- Junru Ren and Wenhao Gui
- Most recent changepoint detection in censored panel data pp. 515-540

- Hajra Siddiqa, Sajid Ali and Ismail Shah
- Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates pp. 541-575

- Jun Jin, Tiefeng Ma, Jiajia Dai and Shuangzhe Liu
- Dirichlet process mixtures under affine transformations of the data pp. 577-601

- Julyan Arbel, Riccardo Corradin and Bernardo Nipoti
- Generalized properties for Hanafi–Wold’s procedure in partial least squares path modeling pp. 603-614

- Mohamed Hanafi, Pasquale Dolce and Zouhair El Hadri
- Partial possibilistic regression path modeling: handling uncertainty in path modeling pp. 615-639

- Rosaria Romano and Francesco Palumbo
- A modified Canny edge detector based on weighted least squares pp. 641-659

- Xu Qin
- Economic design of memory-type control charts: The fallacy of the formula proposed by Lorenzen and Vance (1986) pp. 661-690

- Amir Ahmadi-Javid and Mohsen Ebadi
- An accelerated EM algorithm for mixture models with uncertainty for rating data pp. 691-714

- Rosaria Simone
- R package for statistical inference in dynamical systems using kernel based gradient matching: KGode pp. 715-747

- Mu Niu, Joe Wandy, Rónán Daly, Simon Rogers and Dirk Husmeier
- Spatio-temporal change of support modeling with R pp. 749-780

- Andrew M. Raim, Scott H. Holan, Jonathan R. Bradley and Christopher K. Wikle
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