Journal of statistical computation and simulation

Keyphrases

Publications

volume 94, number 10, 2024

William Lippitt, Nichole E Carlson, Jaron Arbet, Tasha E Fingerlin, Lisa A Maier, Katerina Kechris
Limitations of Clustering with PCA and Correlated Noise. Journal of statistical computation and simulation 94 (10) (2024)
William Lippitt, Nichole E Carlson, Jaron Arbet, Tasha E Fingerlin, Lisa A Maier, Katerina Kechris
Limitations of Clustering with PCA and Correlated Noise. Journal of statistical computation and simulation 94 (10) (2024)
William Lippitt, Nichole E Carlson, Jaron Arbet, Tasha E Fingerlin, Lisa A Maier, Katerina Kechris
Limitations of Clustering with PCA and Correlated Noise. Journal of statistical computation and simulation 94 (10) (2024)

volume 93, number 4, 2022

Mia Sato Tackney, Dave Woods, Ilya Shpitser
Nonmyopic and pseudo-nonmyopic approaches to optimal sequential design in the presence of covariates. Journal of statistical computation and simulation 93 (4) (2022)
Mia Sato Tackney, Dave Woods, Ilya Shpitser
Nonmyopic and pseudo-nonmyopic approaches to optimal sequential design in the presence of covariates. Journal of statistical computation and simulation 93 (4) (2022)
Mia Sato Tackney, Dave Woods, Ilya Shpitser
Nonmyopic and pseudo-nonmyopic approaches to optimal sequential design in the presence of covariates. Journal of statistical computation and simulation 93 (4) (2022)

volume 92, number 2, 2021

Sehwan Kim, Qifan Song, Faming Liang
Stochastic gradient Langevin dynamics with adaptive drifts. Journal of statistical computation and simulation 92 (2) (2021)

volume 91, number 16, 2021

Xiaoning Kang, Shyam Ranganathan, Lulu Kang, Julia Gohlke, Xinwei Deng
Bayesian auxiliary variable model for birth records data with qualitative and quantitative responses. Journal of statistical computation and simulation 91 (16) (2021)

volume 91, number 18, 2021

Ruoshui Zhai, Roee Gutman
Using the potential outcome framework to estimate optimal sample size for cluster randomized trials: a simulation-based algorithm. Journal of statistical computation and simulation 91 (18) (2021)
Linhan Hu, Soutrik Mandal, Samiran Sinha
A comparative study of two-sample tests for interval-censored data. Journal of statistical computation and simulation 91 (18) (2021)
Linhan Hu, Soutrik Mandal, Samiran Sinha
A comparative study of two-sample tests for interval-censored data. Journal of statistical computation and simulation 91 (18) (2021)
Linhan Hu, Soutrik Mandal, Samiran Sinha
A comparative study of two-sample tests for interval-censored data. Journal of statistical computation and simulation 91 (18) (2021)

volume 90, number 1, 2019

Robert H Lyles, Paul Weiss, Lance A Waller
Calibrated Bayesian Credible Intervals for Binomial Proportions. Journal of statistical computation and simulation 90 (1) (2019)

volume 90, number 2, 2019

Kuangnan Fang, Xiaochen Zhang, Shuangge Ma, Qingzhao Zhang
Smooth and Locally Sparse Estimation for Multiple-Output Functional Linear Regression. Journal of statistical computation and simulation 90 (2) (2019)

volume 89, number 11, 2019

Casey M Jelsema, Richard K Kwok, Shyamal D Peddada
Threshold Knot Selection for Large-Scale Spatial Models With Applications to the Deepwater Horizon Disaster. Journal of statistical computation and simulation 89 (11) (2019)

volume 89, number 5, 2019

Shengtong Han, Hongmei Zhang, Wenhui Sheng, Hasan Arshad
The nested joint clustering via Dirichlet process mixture model. Journal of statistical computation and simulation 89 (5) (2019)

volume 89, number 2, 2018

Simeone Marino, Nina Zhou, Yi Zhao, Lu Wang, Qiucheng Wu, Ivo D Dinov
HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets. Journal of statistical computation and simulation 89 (2) (2018)

volume 88, number 13, 2018

Gregory Gurevich, Albert Vexler
A density based empirical likelihood approach for testing bivariate normality. Journal of statistical computation and simulation 88 (13) (2018)

volume 88, number 18, 2018

Yaqing Xu, Mengyun Wu, Shuangge Ma, Syed Ejaz Ahmed
Robust gene-environment interaction analysis using penalized trimmed regression. Journal of statistical computation and simulation 88 (18) (2018)

volume 88, number 6, 2018

Guangren Yang, Sumin Hou, Luheng Wang, Yanqing Sun
Feature screening in ultrahigh-dimensional additive Cox model. Journal of statistical computation and simulation 88 (6) (2018)
Guogen Shan, Le Kang, Min Xiao, Hua Zhang, Tao Jiang
Accurate unconditional p-values for a two-arm study with binary endpoints. Journal of statistical computation and simulation 88 (6) (2018)

volume 88, number 3, 2017

Peter C Austin
Statistical power to detect violation of the proportional hazards assumption when using the Cox regression model. Journal of statistical computation and simulation 88 (3) (2017)
M D Koslovsky, M D Swartz, L Leon-Novelo, W Chan, A V Wilkinson
Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates. Journal of statistical computation and simulation 88 (3) (2017)

volume 88, number 4, 2017

Yan Wang, Lu Tian
An Efficient Numerical Algorithm for Exact Inference in Meta Analysis. Journal of statistical computation and simulation 88 (4) (2017)

volume 88, number 5, 2017

Andrew Holbrook, Shiwei Lan, Alexander Vandenberg-Rodes, Babak Shahbaba
Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation. Journal of statistical computation and simulation 88 (5) (2017)

volume 87, number 11, 2017

Ming Teng, Farouk S Nathoo, Timothy D Johnson
Bayesian Computation for Log-Gaussian Cox Processes: A Comparative Analysis of Methods. Journal of statistical computation and simulation 87 (11) (2017)

volume 87, number 14, 2017

S-M Chang, J-Y Tzeng, R-B Chen
Fast Bayesian Variable Screenings for Binary Response Regressions with Small Sample Size. Journal of statistical computation and simulation 87 (14) (2017)

volume 87, number 8, 2017

Rachael A Hughes, Michael G Kenward, Jonathan A C Sterne, Kate Tilling
Estimation of the linear mixed integrated Ornstein-Uhlenbeck model. Journal of statistical computation and simulation 87 (8) (2017)

volume 87, number 7, 2016

Sandipan Dutta, Susmita Datta, Somnath Datta
Temporal Prediction of Future State Occupation in a Multistate Model from High-Dimensional Baseline Covariates via Pseudo-Value Regression. Journal of statistical computation and simulation 87 (7) (2016)

volume 86, number 18, 2016

Lili Yang, Menggang Yu, Sujuan Gao
Joint Models for Multiple Longitudinal Processes and Time-to-event Outcome. Journal of statistical computation and simulation 86 (18) (2016)
Anup Amatya, Hakan Demirtas
Concurrent generation of multivariate mixed data with variables of dissimilar types. Journal of statistical computation and simulation 86 (18) (2016)

volume 86, number 10, 2015

Philip M Westgate
A covariance correction that accounts for correlation estimation to improve finite-sample inference with generalized estimating equations: A study on its applicability with structured correlation matrices. Journal of statistical computation and simulation 86 (10) (2015)

volume 86, number 7, 2015

Christopher D McFarland
A modified ziggurat algorithm for generating exponentially- and normally-distributed pseudorandom numbers. Journal of statistical computation and simulation 86 (7) (2015)

volume 85, number 15, 2014

Susan A Alber, J Jack Lee
Calibrating the prior distribution for a normal model with conjugate prior. Journal of statistical computation and simulation 85 (15) (2014)

volume 82, number 10, 2012

Malka Gorfine, Rottem De-Picciotto, Li Hsu
Conditional and Marginal Estimates in Case-Control Family Data - Extensions and Sensitivity Analyses. Journal of statistical computation and simulation 82 (10) (2012)

volume 83, number 1, 2011

Xinming An, Peter M Bentler
Nesting Monte Carlo EM for high-dimensional item factor analysis. Journal of statistical computation and simulation 83 (1) (2011)