VOL. 9 · NO. 2 | June 2015
 
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Frontmatter
Ann. Appl. Stat. 9 (2), (June 2015)
No abstract available
Ann. Appl. Stat. 9 (2), (June 2015)
No abstract available
Articles
Niamh Cahill, Andrew C. Kemp, Benjamin P. Horton, Andrew C. Parnell
Ann. Appl. Stat. 9 (2), 547-571, (June 2015) DOI: 10.1214/15-AOAS824
KEYWORDS: Bayesian statistics, integrated Gaussian processes, errors-in-variables, proxy reconstruction, tide gauge
Forrest W. Crawford, Robert E. Weiss, Marc A. Suchard
Ann. Appl. Stat. 9 (2), 572-596, (June 2015) DOI: 10.1214/15-AOAS809
KEYWORDS: Bayesian hierarchical model, coarse data, continuous-time Markov chain, heaping, mixture model, rounding
Wenfei Zhang, Ying Wei
Ann. Appl. Stat. 9 (2), 597-620, (June 2015) DOI: 10.1214/15-AOAS811
KEYWORDS: Growth charts, sparse functional data, longitudinal data, Principal Component Analysis
Juhee Lee, Peter Müller, Kamalakar Gulukota, Yuan Ji
Ann. Appl. Stat. 9 (2), 621-639, (June 2015) DOI: 10.1214/15-AOAS817
KEYWORDS: Haplotypes, feature allocation models, Indian buffet process, Markov chain Monte Carlo, next-generation sequencing, random binary matrices, variant calling
Jiahan Li, Zhong Wang, Runze Li, Rongling Wu
Ann. Appl. Stat. 9 (2), 640-664, (June 2015) DOI: 10.1214/15-AOAS808
KEYWORDS: Bayesian approach, group variable selection, longitudinal data, GWAS
Heejung Shim, Matthew Stephens
Ann. Appl. Stat. 9 (2), 665-686, (June 2015) DOI: 10.1214/14-AOAS776
KEYWORDS: Wavelets, high-throughput sequencing assays, RNA-Seq, DNase-seq, chromatin accessibility, ChIP-seq, genetic association analysis, hierarchical model, Bayesian inference, functional data
Fan Li, Tingting Zhang, Quanli Wang, Marlen Z. Gonzalez, Erin L. Maresh, James A. Coan
Ann. Appl. Stat. 9 (2), 687-713, (June 2015) DOI: 10.1214/15-AOAS818
KEYWORDS: Bayesian, Dirichlet process, fMRI, Ising model, phase transition, scalar-on-image regression, stochastic search, Variable selection
Xiangdong Gu, Yunsheng Ma, Raji Balasubramanian
Ann. Appl. Stat. 9 (2), 714-730, (June 2015) DOI: 10.1214/15-AOAS810
KEYWORDS: measurement error, panel data, interval censoring, time to event outcomes
Jonathan S. Schildcrout, Paul J. Rathouz, Leila R. Zelnick, Shawn P. Garbett, Patrick J. Heagerty
Ann. Appl. Stat. 9 (2), 731-753, (June 2015) DOI: 10.1214/15-AOAS826
KEYWORDS: Biased sampling, childhood asthma, conditional likelihood, epidemiological study design, forced vital capacity, linear mixed effect models, longitudinal data analysis, multiple imputation, outcome dependent sampling, time-dependent covariates
Giles Hooker, Stephen P. Ellner
Ann. Appl. Stat. 9 (2), 754-776, (June 2015) DOI: 10.1214/15-AOAS828
KEYWORDS: Differential equation, diagnostics, goodness of fit, attractor reconstruction, bootstrap
Laura Anderlucci, Cinzia Viroli
Ann. Appl. Stat. 9 (2), 777-800, (June 2015) DOI: 10.1214/15-AOAS816
KEYWORDS: Mixture models, temporal dependence, random effects model
Stefan Wager, Alexander Blocker, Niall Cardin
Ann. Appl. Stat. 9 (2), 801-820, (June 2015) DOI: 10.1214/15-AOAS812
KEYWORDS: Latent variables model, uncertain class label
Jian Guo, Jie Cheng, Elizaveta Levina, George Michailidis, Ji Zhu
Ann. Appl. Stat. 9 (2), 821-848, (June 2015) DOI: 10.1214/13-AOAS700
KEYWORDS: graphical models, group penalty, High-dimensional data, $\ell_{1}$ penalty, Markov network, Binary data
John C. Jackson, Paul S. Albert, Zhiwei Zhang
Ann. Appl. Stat. 9 (2), 849-865, (June 2015) DOI: 10.1214/14-AOAS765
KEYWORDS: Adaptive quadrature, Hidden Markov model, joint model, random effects
Francis K. C. Hui, David I. Warton, Scott D. Foster
Ann. Appl. Stat. 9 (2), 866-882, (June 2015) DOI: 10.1214/15-AOAS813
KEYWORDS: Community level models, finite mixture models, penalized likelihood, regularization, species archetype models, Variable selection
Yicheng Kang, Xiaodong Gong, Jiti Gao, Peihua Qiu
Ann. Appl. Stat. 9 (2), 883-900, (June 2015) DOI: 10.1214/15-AOAS814
KEYWORDS: Bandwidth selection, demand for private health insurance, exponential family, generalized regression, kernel smoothing, Measurement errors
Shiqi Cui, Subharup Guha, Marco A. R. Ferreira, Allison N. Tegge
Ann. Appl. Stat. 9 (2), 901-925, (June 2015) DOI: 10.1214/15-AOAS815
KEYWORDS: Bayesian hierarchical model, first order dependence, next-generation sequencing, overdispersion, serial correlation
Vasileios Maroulas, Andreas Nebenführ
Ann. Appl. Stat. 9 (2), 926-949, (June 2015) DOI: 10.1214/15-AOAS819
KEYWORDS: Multi-object Bayesian filtering, cardinalized probability hypothesis density, Gaussian mixture implementation, monitoring intracellular movements, random finite set theory, finite set statistics
Jie Hu, Zhongying Zhao, Hari Krishna Yalamanchili, Junwen Wang, Kenny Ye, Xiaodan Fan
Ann. Appl. Stat. 9 (2), 950-968, (June 2015) DOI: 10.1214/15-AOAS820
KEYWORDS: 4D confocal microscopy, embryonic onset, change point detection, Bayesian method
Gabriela B. Cybis, Janet S. Sinsheimer, Trevor Bedford, Alison E. Mather, Philippe Lemey, Marc A. Suchard
Ann. Appl. Stat. 9 (2), 969-991, (June 2015) DOI: 10.1214/15-AOAS821
KEYWORDS: Bayesian phylogenetics, threshold model, Evolution, genotype-phenotype correlation
Makram Talih
Ann. Appl. Stat. 9 (2), 992-1023, (June 2015) DOI: 10.1214/15-AOAS822
KEYWORDS: Social welfare function, concentration curve, Rényi divergence, statistical inference, complex survey data, health surveillance data
Nadja Klein, Thomas Kneib, Stefan Lang, Alexander Sohn
Ann. Appl. Stat. 9 (2), 1024-1052, (June 2015) DOI: 10.1214/15-AOAS823
KEYWORDS: Generalised additive models for location, scale and shape, income distribution, iteratively weighted least squares proposal, Markov chain Monte Carlo, semiparametric regression, wage inequality
Sandra Safo, Xiao Song, Kevin K. Dobbin
Ann. Appl. Stat. 9 (2), 1053-1075, (June 2015) DOI: 10.1214/15-AOAS825
KEYWORDS: sample size, Lasso, ‎classification‎, regularized logistic regression, conditional score, High-dimensional data, measurement error
Philip T. Reiss, Lan Huo, Yihong Zhao, Clare Kelly, R. Todd Ogden
Ann. Appl. Stat. 9 (2), 1076-1101, (June 2015) DOI: 10.1214/15-AOAS829
KEYWORDS: ADHD-200, Elastic net, functional confounding, functional magnetic resonance imaging, functional regression, sparse principal component regression, sparse partial least squares
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