# Computational Statistics
2003 - 2017
Current editor(s): *Wataru Sakamoto*, *Ricardo Cao* and *Jürgen Symanzik* From Springer Series data maintained by Sonal Shukla (). Access Statistics for this journal.
Track citations for all items by RSS feed
Is something missing from the series or not right? See the RePEc data check for the archive and series.
**Volume 32, issue 4, 2017**
- Bootstrap and permutation tests in ANOVA for directional data pp. 1213-1240
*Adelaide Figueiredo*
- An ‘apples to apples’ comparison of various tests for exponentiality pp. 1241-1283
*J. S. Allison*, *L. Santana*, *N. Smit* and *I. J. H. Visagie*
- Resampling based inference for a distribution function using censored ranked set samples pp. 1285-1308
*M. Mahdizadeh* and *E. Strzalkowska-Kominiak*
- Tests of perfect judgment ranking using pseudo-samples pp. 1309-1322
*Saeid Amiri*, *Reza Modarres* and *Silvelyn Zwanzig*
- A Monte Carlo evaluation of the performance of two new tests for symmetry pp. 1323-1338
*James S. Allison* and *Charl Pretorius*
- On moment-type estimators for a class of log-symmetric distributions pp. 1339-1355
*N. Balakrishnan*, *Helton Saulo*, *Marcelo Bourguignon* and *Xiaojun Zhu*
- A regression-based numerical scheme for backward stochastic differential equations pp. 1357-1373
*Deng Ding*, *Xiaofei Li* and *Yiqi Liu*
- An effective method to reduce the computational complexity of composite quantile regression pp. 1375-1393
*Yanke Wu* and *Maozai Tian*
- Fast implementation of the Tukey depth pp. 1395-1410
*Xiaohui Liu*
- Inaccurate regression coefficients in Microsoft Excel 2003: an investigation of Volpi’s “zero bug” pp. 1411-1421
*H.-J. Sun*, *Kaoru Fukuda* and *B. D. McCullough*
- Dependence structure and test of independence for some well-known bivariate distributions pp. 1423-1451
*M. Zargar*, *H. Jabbari* and *M. Amini*
- Testing the equality of several linear regression models pp. 1453-1480
*Filipe J. Marques*, *Carlos A. Coelho* and *Paulo C. Rodrigues*
- Multivariate moment based extreme value index estimators pp. 1481-1513
*Matias Heikkilä*, *Yves Dominicy* and *Pauliina Ilmonen*
- Bivariate nonparametric estimation of the Pickands dependence function using Bernstein copula with kernel regression approach pp. 1515-1532
*Alireza Ahmadabadi* and *Burcu Hudaverdi Ucer*
- Numerical distribution functions for seasonal unit root tests with OLS and GLS detrending pp. 1533-1568
*Tomás Barrio Castro*, *Andrii Bodnar* and *Andreu Sansó*
- A new method to detect periodically correlated structure pp. 1569-1581
*Mohammad Reza Mahmoudi* and *Mohsen Maleki*
- A test for a parametric form of the volatility in second-order diffusion models pp. 1583-1596
*Tianshun Yan* and *Changlin Mei*
- Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes pp. 1597-1620
*Han Li*, *Kai Yang* and *Dehui Wang*
- Fast derivatives of likelihood functionals for ODE based models using adjoint-state method pp. 1621-1643
*Valdemar Melicher*, *Tom Haber* and *Wim Vanroose*
- Quadratic properties of least-squares solutions of linear matrix equations with statistical applications pp. 1645-1663
*Yongge Tian* and *Bo Jiang*
- Prediction of censored exponential lifetimes in a simple step-stress model under progressive Type II censoring pp. 1665-1687
*Indrani Basak* and *N. Balakrishnan*
- Nonparametric confidence intervals for ranked set samples pp. 1689-1725
*Santu Ghosh*, *Arpita Chatterjee* and *N. Balakrishnan*
- The joint signature of parallel systems for different permutations of failure times pp. 1727-1746
*Leila Mohammadi*
- Weighted least squares estimation for exchangeable binary data pp. 1747-1765
*Dale Bowman* and *E. Olusegun George*
- Efficient simulation from a gamma distribution with small shape parameter pp. 1767-1775
*Chuanhai Liu*, *Ryan Martin* and *Nick Syring*
- Erratum to: Bootstrap prediction intervals in beta regressions pp. 1777-1777
*Patrícia L. Espinheira*, *Silvia L. P. Ferrari* and *Francisco Cribari-Neto*
**Volume 32, issue 3, 2017**
- A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution pp. 803-843
*Vinny Davies*, *Richard Reeve*, *William T. Harvey*, *Francois F. Maree* and *Dirk Husmeier*
- Bayesian inference on longitudinal-survival data with multiple features pp. 845-866
*Tao Lu*
- Frequentist standard errors of Bayes estimators pp. 867-888
*DongHyuk Lee*, *Raymond J. Carroll* and *Samiran Sinha*
- Statistical simulation based on right skewed distributions pp. 889-907
*Kazushi Maruo*, *Takaharu Yamabe* and *Yusuke Yamaguchi*
- An exact approach to ridge regression for big data pp. 909-928
*Tonglin Zhang* and *Baijian Yang*
- On weighted and locally polynomial directional quantile regression pp. 929-946
*Pavel Boček* and *Miroslav Šiman*
- Efficient parameter estimation via modified Cholesky decomposition for quantile regression with longitudinal data pp. 947-975
*Jing Lv* and *Chaohui Guo*
- Effects of measurement error on a class of single-index varying coefficient regression models pp. 977-1001
*Jianhong Shi*, *Qian Yang*, *Xiongya Li* and *Weixing Song*
- Fully robust one-sided cross-validation for regression functions pp. 1003-1025
*Olga Y. Savchuk* and *Jeffrey D. Hart*
- Bandwidth matrix selectors for kernel regression pp. 1027-1046
*Jan Koláček* and *Ivana Horová*
- Optimal variance estimation based on lagged second-order difference in nonparametric regression pp. 1047-1063
*WenWu Wang*, *Lu Lin* and *Li Yu*
- Spurious regression due to neglected of non-stationary volatility pp. 1065-1081
*Hao Jin*, *Si Zhang* and *Jinsuo Zhang*
- Choosing the most relevant level sets for depicting a sample of densities pp. 1083-1113
*Pedro Delicado* and *Philippe Vieu*
- Identifying local smoothness for spatially inhomogeneous functions pp. 1115-1138
*Dongik Jang*, *Hee-Seok Oh* and *Philippe Naveau*
- Estimation of level set trees using adaptive partitions pp. 1139-1163
*Lasse Holmström*, *Kyösti Karttunen* and *Jussi Klemelä*
- Some hypothesis tests based on random projection pp. 1165-1189
*Ricardo Fraiman*, *Leonardo Moreno* and *Sebastian Vallejo*
- Canonical correlation for principal components of time series pp. 1191-1212
*S. Yaser Samadi*, *L. Billard*, *M. R. Meshkani* and *A. Khodadadi*
**Volume 32, issue 2, 2017**
- Use of EM algorithm for data reduction under sparsity assumption pp. 387-407
*Atanu Kumar Ghosh* and *Arnab Chakraborty*
- Unsupervised learning of pharmacokinetic responses pp. 409-428
*Elson Tomás*, *Susana Vinga* and *Alexandra M. Carvalho*
- Likelihood inference for the destructive exponentially weighted Poisson cure rate model with Weibull lifetime and an application to melanoma data pp. 429-449
*Suvra Pal* and *N. Balakrishnan*
- A general class of scale-shape mixtures of skew-normal distributions: properties and estimation pp. 451-474
*Ahad Jamalizadeh* and *Tsung-I Lin*
- A non-negative matrix factorization model based on the zero-inflated Tweedie distribution pp. 475-499
*Hiroyasu Abe* and *Hiroshi Yadohisa*
- The dynamic random subgraph model for the clustering of evolving networks pp. 501-533
*Rawya Zreik*, *Pierre Latouche* and *Charles Bouveyron*
- An interactive graphical method for community detection in network data pp. 535-557
*Andee Kaplan*, *Heike Hofmann* and *Daniel Nordman*
- Uncertainty quantification for functional dependent random variables pp. 559-583
*Simon Nanty*, *Céline Helbert*, *Amandine Marrel*, *Nadia Pérot* and *Clémentine Prieur*
- Dimension reduction in functional regression with categorical predictor pp. 585-609
*Guochang Wang*
- A note on estimating the bent line quantile regression model pp. 611-630
*Yanyang Yan*, *Feipeng Zhang* and *Xiaoying Zhou*
- Nonsingular subsampling for regression S estimators with categorical predictors pp. 631-646
*Manuel Koller* and *Werner A. Stahel*
- Computational testing algorithmic procedure of assessment for lifetime performance index of Pareto products under progressive type I interval censoring pp. 647-666
*Shu-Fei Wu* and *Jin-Yang Lu*
- On the impact of model selection on predictor identification and parameter inference pp. 667-690
*Ruth M. Pfeiffer*, *Andrew Redd* and *Raymond J. Carroll*
- Graph_sampler: a simple tool for fully Bayesian analyses of DAG-models pp. 691-716
*Sagnik Datta*, *Ghislaine Gayraud*, *Eric Leclerc* and *Frederic Y. Bois*
- Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration pp. 717-761
*Marco Grzegorczyk*, *Andrej Aderhold* and *Dirk Husmeier*
- Computing the noncentral-F distribution and the power of the F-test with guaranteed accuracy pp. 763-779
*Ali Baharev*, *Hermann Schichl* and *Endre Rév*
- Optimum mechanism for breaking the confounding effects of mixed-level designs pp. 781-802
*A. M. Elsawah* and *Hong Qin*
**Volume 32, issue 1, 2017**
- Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models pp. 1-33
*Marco Grzegorczyk* and *Mahdi Shafiee Kamalabad*
- Noninformative priors for the ratio of the shape parameters of two Weibull distributions pp. 35-50
*Sang Gil Kang*, *Woo Dong Lee* and *Yongku Kim*
- Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances pp. 51-69
*Clemens Elster* and *Gerd Wübbeler*
- Objective Bayesian testing on the common mean of several normal distributions under divergence-based priors pp. 71-91
*Sang Gil Kang*, *Woo Dong Lee* and *Yongku Kim*
- A comparison of variational approximations for fast inference in mixed logit models pp. 93-125
*Nicolas Depraetere* and *Martina Vandebroek*
- Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis pp. 127-143
*Aijun Yang*, *Xuejun Jiang*, *Lianjie Shu* and *Jinguan Lin*
- Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models pp. 145-177
*Alberto Lumbreras*, *Julien Velcin*, *Marie Guégan* and *Bertrand Jouve*
- Bayesian inference on partially linear mixed-effects joint models for longitudinal data with multiple features pp. 179-196
*Yangxin Huang* and *Tao Lu*
- Scale space multiresolution correlation analysis for time series data pp. 197-218
*Leena Pasanen* and *Lasse Holmström*
- Bayesian analysis of multiple thresholds autoregressive model pp. 219-237
*Jiazhu Pan*, *Qiang Xia* and *Jinshan Liu*
- Issues in the Multiple Try Metropolis mixing pp. 239-252
*L. Martino* and *F. Louzada*
- Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space pp. 253-279
*Cheng Zhang*, *Babak Shahbaba* and *Hongkai Zhao*
- Integrated likelihood computation methods pp. 281-313
*Zhenyu Zhao* and *Thomas A. Severini*
- Automatically tuned general-purpose MCMC via new adaptive diagnostics pp. 315-348
*Jinyoung Yang* and *Jeffrey S. Rosenthal*
- Bayesian model averaging of possibly similar nonparametric densities pp. 349-365
*Alan Ker* and *Yong Liu*
- Parameter estimation of inverse Lindley distribution for Type-I censored data pp. 367-385
*Suparna Basu*, *Sanjay Kumar Singh* and *Umesh Singh*
| |