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Publication search results
found 22 matches
- 2016
- Khaled Bedair, Yili Hong, Jie Li, Hussein R. Al-Khalidi:
Multivariate frailty models for multi-type recurrent event data and its application to cancer prevention trial. Comput. Stat. Data Anal. 101: 161-173 (2016) - Qixuan Chen, Myunghee Cho Paik, Minjin Kim, Cuiling Wang:
Using link-preserving imputation for logistic partially linear models with missing covariates. Comput. Stat. Data Anal. 101: 174-185 (2016) - William Cipolli III, Timothy Hanson, Alexander C. McLain:
Bayesian nonparametric multiple testing. Comput. Stat. Data Anal. 101: 64-79 (2016) - Tilman M. Davies, Khair Jones, Martin L. Hazelton:
Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function. Comput. Stat. Data Anal. 101: 12-28 (2016) - Wei Ding, Peter X.-K. Song:
EM algorithm in Gaussian copula with missing data. Comput. Stat. Data Anal. 101: 1-11 (2016) - Samuel M. Gross, Robert Tibshirani:
Data Shared Lasso: A novel tool to discover uplift. Comput. Stat. Data Anal. 101: 226-235 (2016) - Ingrid Hobæk Haff, Kjersti Aas, Arnoldo Frigessi, Virginia Lacal:
Structure learning in Bayesian Networks using regular vines. Comput. Stat. Data Anal. 101: 186-208 (2016) - Spyridon J. Hatjispyros, Theodoros Nicoleris, Stephen G. Walker:
Random density functions with common atoms and pairwise dependence. Comput. Stat. Data Anal. 101: 236-249 (2016) - Reshad Hosseini, Suvrit Sra, Lucas Theis, Matthias Bethge:
Inference and mixture modeling with the Elliptical Gamma Distribution. Comput. Stat. Data Anal. 101: 29-43 (2016) - Hao Hu, Yichao Wu, Weixin Yao:
Maximum likelihood estimation of the mixture of log-concave densities. Comput. Stat. Data Anal. 101: 137-147 (2016) - Yongku Kim, L. Mark Berliner:
Change of spatiotemporal scale in dynamic models. Comput. Stat. Data Anal. 101: 80-92 (2016) - William Kleiber:
High resolution simulation of nonstationary Gaussian random fields. Comput. Stat. Data Anal. 101: 277-288 (2016) - Dimitris Korobilis:
Prior selection for panel vector autoregressions. Comput. Stat. Data Anal. 101: 110-120 (2016) - Namgil Lee, Hyemi Choi, Sung-Ho Kim:
Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise. Comput. Stat. Data Anal. 101: 250-276 (2016) - Minjung Lee, Junhee Han:
Covariate-adjusted quantile inference with competing risks. Comput. Stat. Data Anal. 101: 57-63 (2016) - Qi Li, Heng Lian, Fukang Zhu:
Robust closed-form estimators for the integer-valued GARCH (1, 1) model. Comput. Stat. Data Anal. 101: 209-225 (2016) - Baidya Nath Mandal, Jun Ma:
l1 regularized multiplicative iterative path algorithm for non-negative generalized linear models. Comput. Stat. Data Anal. 101: 289-299 (2016) - Tucker S. McElroy, Scott H. Holan:
Computation of the autocovariances for time series with multiple long-range persistencies. Comput. Stat. Data Anal. 101: 44-56 (2016) - Travis A. O'Brien, Karthik Kashinath, Nicholas R. Cavanaugh, William D. Collins, John P. O'Brien:
A fast and objective multidimensional kernel density estimation method: fastKDE. Comput. Stat. Data Anal. 101: 148-160 (2016) - Huon Wilson, Uri Keich:
Accurate pairwise convolutions of non-negative vectors via FFT. Comput. Stat. Data Anal. 101: 300-315 (2016) - Zizhen Wu, David B. Hitchcock:
A Bayesian method for simultaneous registration and clustering of functional observations. Comput. Stat. Data Anal. 101: 121-136 (2016) - Lixing Zhou, Yoshio Takane, Heungsun Hwang:
Dynamic GSCANO (Generalized Structured Canonical Correlation Analysis) with applications to the analysis of effective connectivity in functional neuroimaging data. Comput. Stat. Data Anal. 101: 93-109 (2016)
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