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ORCIDComputational Statistics, Volume 35
Volume 35, Number 1, March 2020
- Claude Renaux, Laura Buzdugan, Markus Kalisch, Peter Bühlmann:
Hierarchical inference for genome-wide association studies: a view on methodology with software. 1-40 - Jelle J. Goeman, Stefan Böhringer:
Comments on: Hierarchical inference for genome-wide association studies by Jelle J. Goeman and Stefan Böhringer. 41-45 - Florian Frommlet
, Michael G. Schimek:
Comments on: Hierarchical inference for genome-wide association studies: a view on methodology with software by F. Frommlet and M. G. Schimek. 47-49 - Ruth Heller:
Comments on: Hierarchical inference for genome-wide association studies: a view on methodology with software. 51-55 - Paulo C. Rodrigues, Vanda M. Lourenço:
Comments on: Hierarchical Inference for genome-wide association studies: a view on methodology with software by Paulo C. Rodrigues and Vanda M. Lourenço. 57-58 - Claude Renaux, Laura Buzdugan, Markus Kalisch, Peter Bühlmann:
Rejoinder on: Hierarchical inference for genome-wide association studies: a view on methodology with software. 59-67 - Fengqin Tang, Chunning Wang, Jinxia Su, Yuanyuan Wang:
Spectral clustering-based community detection using graph distance and node attributes. 69-94 - Zhou Tang, Zhangsheng Yu, Cheng Wang:
A fast iterative algorithm for high-dimensional differential network. 95-109 - Guillaume Perrin, Christian Soize:
Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework. 111-133 - K. Shuvo Bakar:
Interpolation of daily rainfall data using censored Bayesian spatially varying model. 135-152 - Zahra Barzegar, Firoozeh Rivaz:
A scalable Bayesian nonparametric model for large spatio-temporal data. 153-173 - Måns Magnusson, Leif Jonsson, Mattias Villani:
DOLDA: a regularized supervised topic model for high-dimensional multi-class regression. 175-201 - Wei Shao, Yijun Zuo:
Computing the halfspace depth with multiple try algorithm and simulated annealing algorithm. 203-226 - Mingan Yang, Min Wang, Guanghui Dong:
Bayesian variable selection for mixed effects model with shrinkage prior. 227-243 - Aijun Yang, Yuzhu Tian, Yunxian Li, Jinguan Lin:
Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data. 245-258 - Emrah Altun, Gauss M. Cordeiro:
The unit-improved second-degree Lindley distribution: inference and regression modeling. 259-279 - Morad Alizadeh, Ahmed Z. Afify, Mohammed S. Eliwa, Sajid Ali:
The odd log-logistic Lindley-G family of distributions: properties, Bayesian and non-Bayesian estimation with applications. 281-308 - Akbar Asgharzadeh, S. F. Bagheri, N. A. Ibrahim, M. R. Abu Bakar:
Optimal confidence regions for the two-parameter exponential distribution based on records. 309-326 - Chaoran Hu, Vladimir Pozdnyakov, Jun Yan:
Density and distribution evaluation for convolution of independent gamma variables. 327-342 - Sorawit Saengkyongam, Anthony J. Hayter, Seksan Kiatsupaibul, Wei Liu:
Efficient computation of the stochastic behavior of partial sum processes. 343-358 - Zahra Behdani, Gholam Reza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh:
Some properties of double truncated distributions and their application in view of income inequality. 359-378 - Artur J. Lemonte, Germán Moreno-Arenas:
On a heavy-tailed parametric quantile regression model for limited range response variables. 379-398 - Juliana Scudilio, Gustavo Henrique Araujo Pereira:
Adjusted quantile residual for generalized linear models. 399-421
Volume 35, Number 2, June 2020
- Desheng Dash Wu, Wolfgang Karl Härdle:
Service data analytics and business intelligence 2017. 423-426 - Shiyi Chen, Wolfgang K. Härdle, Li Wang:
Estimation and determinants of Chinese banks' total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk. 427-468 - Xuanzhu Fan, Jiafu Tang, Chongjun Yan:
Appointment scheduling optimization with two stages diagnosis for clinic outpatient. 469-490 - Rong Guan, Huiwen Wang, Haitao Zheng:
Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model. 491-514 - Weichang Kong, Fei Qiao, Qidi Wu:
Real-manufacturing-oriented big data analysis and data value evaluation with domain knowledge. 515-538 - Tianshun Yan, Yanyong Zhao, Wentao Wang:
Likelihood-based estimation of a semiparametric time-dependent jump diffusion model of the short-term interest rate. 539-557
- Luke Smallman, William Underwood, Andreas Artemiou:
Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination. 559-577 - Manuel Carcenac, Soydan Redif:
Application of the sequential matrix diagonalization algorithm to high-dimensional functional MRI data. 579-605 - Maël Chiapino, Stéphan Clémençon, Vincent Feuillard, Anne Sabourin:
A multivariate extreme value theory approach to anomaly clustering and visualization. 607-628 - Carel F. W. Peeters, Mark A. van de Wiel, Wessel N. van Wieringen:
The spectral condition number plot for regularization parameter evaluation. 629-646 - Román Salmerón-Gómez, Ainara Rodríguez-Sánchez, Catalina García-García:
Diagnosis and quantification of the non-essential collinearity. 647-666 - Nileshkumar H. Jadhav:
On linearized ridge logistic estimator in the presence of multicollinearity. 667-687 - Alexandre Brouste, Christophe Dutang, Tom Rohmer:
Closed-form maximum likelihood estimator for generalized linear models in the case of categorical explanatory variables: application to insurance loss modeling. 689-724 - Shen-Ming Lee, T. Martin Lukusa, Chin-Shang Li:
Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods. 725-754 - Marta García-Bárzana, Ana Belén Ramos-Guajardo, Ana Colubi, Erricos John Kontoghiorghes:
Multiple linear regression models for random intervals: a set arithmetic approach. 755-773 - Lenka Filová, Radoslav Harman:
Ascent with quadratic assistance for the construction of exact experimental designs. 775-801 - Len Bos, Federico Piazzon, Marco Vianello:
Near G-optimal Tchakaloff designs. 803-819 - Saeid Pooladsaz, Mahboobeh Doosti-Irani:
An algorithm for finding efficient test-control block designs with correlated observations. 821-836 - Stephen Desalvo, James Zhao:
Random sampling of contingency tables via probabilistic divide-and-conquer. 837-869 - Ben Powell, Paul A. Smith:
Computing expectations and marginal likelihoods for permutations. 871-891
Volume 35, Number 3, September 2020
- Rajiv Sambasivan, Sourish Das, Sujit K. Sahu:
A Bayesian perspective of statistical machine learning for big data. 893-930 - Peizhi Li, Yingwei Peng, Ping Jiang, Qingli Dong:
A support vector machine based semiparametric mixture cure model. 931-945 - Marius Lux, Wolfgang Karl Härdle, Stefan Lessmann:
Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid. 947-981 - Peter Calhoun, Melodie J. Hallett, Xiaogang Su, Guy Cafri, Richard A. Levine, Juanjuan Fan:
Random forest with acceptance-rejection trees. 983-999 - Cédric Beaulac, Jeffrey S. Rosenthal:
BEST: a decision tree algorithm that handles missing values. 1001-1026 - Heather L. Turner, Jacob van Etten, David Firth, Ioannis Kosmidis:
Modelling rankings in R: the PlackettLuce package. 1027-1057 - Sophie Marque-Pucheu, Guillaume Perrin, Josselin Garnier:
An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs. 1059-1099 - Amandine Schmutz, Julien Jacques, Charles Bouveyron, Laurence Chèze, Pauline Martin:
Clustering multivariate functional data in group-specific functional subspaces. 1101-1131 - Rolf Larsson:
Discrete factor analysis using a dependent Poisson model. 1133-1152 - Huiwen Wang, Ruiping Liu, Shanshan Wang, Zhichao Wang, Gilbert Saporta:
Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization. 1153-1170 - Ursula Laa, Dianne Cook:
Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics. 1171-1205 - Federico Palacios-González, Rosa M. García-Fernández:
A faster algorithm to estimate multiresolution densities. 1207-1230 - Susana Díaz-Coto, Pablo Martínez-Camblor, Sonia Pérez-Fernández:
smoothROCtime: an R package for time-dependent ROC curve estimation. 1231-1251 - Olga Y. Savchuk:
One-sided cross-validation for nonsmooth density functions. 1253-1272 - Fulya Gokalp-Yavuz, Barret Schloerke:
Parallel computing in linear mixed models. 1273-1289 - Firouzeh Noghrehchi, Jakub Stoklosa, Spiridon I. Penev:
Multiple imputation and functional methods in the presence of measurement error and missingness in explanatory variables. 1291-1317 - Donna Henderson, Gerton Lunter:
Efficient inference in state-space models through adaptive learning in online Monte Carlo expectation maximization. 1319-1344 - Joby K. Jose, M. Drisya:
Time-dependent stress-strength reliability models based on phase type distribution. 1345-1371 - Dong Ding, Axel Gandy, Georg Hahn:
A simple method for implementing Monte Carlo tests. 1373-1392 - Francesco Battaglia, Domenico Cucina, Manuel Rizzo:
Detection and estimation of additive outliers in seasonal time series. 1393-1409 - Laura Garcia-Jorcano, Alfonso Novales:
A dominance approach for comparing the performance of VaR forecasting models. 1411-1448 - Tadele Akeba Diriba, Legesse K. Debusho:
Modelling dependency effect to extreme value distributions with application to extreme wind speed at Port Elizabeth, South Africa: a frequentist and Bayesian approaches. 1449-1479 - Hanwen Huang, Andreas Handel, Xiao Song:
A Bayesian approach to estimate parameters of ordinary differential equation. 1481-1499 - Shaochuan Lu:
Bayesian multiple changepoints detection for Markov jump processes. 1501-1523
Volume 35, Number 4, December 2020
- Bo-Hong Wu, Hirofumi Michimae, Takeshi Emura:
Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model. 1525-1552 - Ashkan Khalifeh, Eisa Mahmoudi, Ajit Chaturvedi:
Sequential fixed-accuracy confidence intervals for the stress-strength reliability parameter for the exponential distribution: two-stage sampling procedure. 1553-1575 - Guangbao Guo, Yue Sun, Xuejun Jiang:
A partitioned quasi-likelihood for distributed statistical inference. 1577-1596 - Neda Daneshgar, Majid Sarmad:
word.alignment: an R package for computing statistical word alignment and its evaluation. 1597-1619 - Jing Sun:
An improvement on the efficiency of complete-case-analysis with nonignorable missing covariate data. 1621-1636 - Yanting Xiao, Fuxiao Li:
Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables. 1637-1658 - Linda Möstel, Marius Pfeuffer, Matthias Fischer:
Statistical inference for Markov chains with applications to credit risk. 1659-1684 - Lingyue Zhang, Dawei Lu, Xiaoguang Wang:
Measuring and testing interdependence among random vectors based on Spearman's ρ and Kendall's τ. 1685-1713 - Hee-Young Kim, Christian H. Weiß, Tobias A. Möller:
Models for autoregressive processes of bounded counts: How different are they? 1715-1736 - Nisreen Shamma, Mehrnaz Mohammadpour, Masoumeh Shirozhan:
A time series model based on dependent zero inflated counting series. 1737-1757 - Weiping Zhang, Feiyue Xie, Jiaxin Tan:
A robust joint modeling approach for longitudinal data with informative dropouts. 1759-1783 - Mahdi Mahdizadeh, Ehsan Zamanzade:
Estimating asymptotic variance of M-estimators in ranked set sampling. 1785-1803 - Cesar Augusto Taconeli, Wagner Hugo Bonat:
On the performance of estimation methods under ranked set sampling. 1805-1826 - Cesar Augusto Taconeli, Suely Ruiz Giolo:
Maximum likelihood estimation based on ranked set sampling designs for two extensions of the Lindley distribution with uncensored and right-censored data. 1827-1851 - Baosheng Liang, Peng Wu, Xingwei Tong, Yanping Qiu:
Regression and subgroup detection for heterogeneous samples. 1853-1878 - Jonas M. B. Haslbeck, Dirk U. Wulff:
Estimating the number of clusters via a corrected clustering instability. 1879-1894 - Volkan Soner Özsoy, Mehmet Güray Ünsal, H. Hasan Örkcü:
Use of the heuristic optimization in the parameter estimation of generalized gamma distribution: comparison of GA, DE, PSO and SA methods. 1895-1925 - Ali Akbar Jafari, Javad Shaabani:
Comparing scale parameters in several gamma distributions with known shapes. 1927-1950 - Claudia Furlan, Cinzia Mortarino:
Comparison among simultaneous confidence regions for nonlinear diffusion models. 1951-1991 - Jiwoong Kim:
Implementation of a goodness-of-fit test through Khmaladze martingale transformation. 1993-2017 - Patrick Stewart, Wei Ning:
Modified empirical likelihood-based confidence intervals for data containing many zero observations. 2019-2042 - David A. Spade:
Geometric ergodicity of a Metropolis-Hastings algorithm for Bayesian inference of phylogenetic branch lengths. 2043-2076 - Guodong Shan, Yiheng Hou, Baisen Liu:
Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions. 2077-2092
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