Current Index to Statistics
The Annals of Applied Statistics
Multilayer knockoff filter: Controlled variable selection at multiple resolutions
Sparse principal component analysis with missing observations
Adaptive gPCA: A method for structured dimensionality reduction with applications to microbiome data
Learning algorithms to evaluate forensic glass evidence
Three-way clustering of multi-tissue multi-individual gene expression data using semi-nonnegative tensor decomposition
Song, Yun S.
Nonparametric testing for differences in electricity prices: The case of the Fukushima nuclear accident
Clonality: Point estimation
Olshen, Richard A.
Boyd, Scott D.
Fire, Andrew Z.
Nonparametric inference for immune response thresholds of risk in vaccine studies
Gilbert, Peter B.
Hudgens, Michael G.
Donovan, Kevin M.
Semiparametric empirical best prediction for small area estimation of unemployment indicators
Ranalli, Maria Giovanna
Marino, Maria Francesca
The identity of the zero-truncated, one-inflated likelihood and the zero-one-truncated likelihood for general count densities with an application to drink-driving in Britain
van der Heijden, Peter G. M.
Phylogeny-based tumor subclone identification using a Bayesian feature allocation model
Warren, Joshua L.
Estimating population average causal effects in the presence of non-overlap: The effect of natural gas compressor station exposure on cancer mortality
Nethery, Rachel C.
Survival analysis of DNA mutation motifs with penalized proportional hazards
Matsen IV, Frederick A.
Minin, Vladimir N.
Shaw, David A.
Early diagnosis of neurological disease using peak degeneration ages of multiple biomarkers
Correction to: Statistical modeling and analysis of trace element concentrations in forensic glass evidence
Pan, Karen D. H.
Prediction models for network-linked data
Nonstationary spatial prediction of soil organic carbon: Implications for stock assessment decision making
Berrocal, Veronica J.
Calder, Catherine A.
Risser, Mark D.
An algorithm for removing sensitive information: Application to race-independent recidivism prediction
Johndrow, James E.
Bayesian semiparametric joint regression analysis of recurrent adverse events and survival in esophageal cancer patients
Lin, Steven H.
Thall, Peter F.
A penalized regression model for the joint estimation of eQTL associations and gene network structure
Xing, Eric P.
A Bayesian race model for response times under cyclic stimulus discriminability
Van Zandt, Trisha
Craigmile, Peter F.
Bayesian analysis of infant’s growth dynamics with in utero exposure to environmental toxicants
Song, Peter X. K.
Joint mean and covariance modeling of multiple health outcome measures
Hoff, Peter D.
Ground-level ozone: Evidence of increasing serial dependence in the extremes
Dupuis, Debbie J.
Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered meta-patterns of differential expression signals
Modeling within-household associations in household panel studies
Clarke, Paul S.
Fréchet estimation of time-varying covariance matrices from sparse data, with application to the regional co-evolution of myelination in the developing brain
The role of mastery learning in an intelligent tutoring system: Principal stratification on a latent variable
Pane, John F.
Sales, Adam C.
Capturing heterogeneity of covariate effects in hidden subpopulations in the presence of censoring and large number of covariates
Development of a common patient assessment scale across the continuum of care: A nested multiple imputation approach
A Bayesian Mallows approach to nontransitive pair comparison data: How human are sounds?
Causal inference in the context of an error prone exposure: Air pollution and mortality
Modeling biomarker ratios with gamma distributed components
Dynamics of homelessness in urban America
Fox, Emily B.
Genome-wide analyses of sparse mediation effects under composite null hypotheses
Bayesian hidden Markov tree models for clustering genes with shared evolutionary history
Liu, Jun S.
Mootha, Vamsi K.
Calvo, Sarah E.
Sequential Dirichlet process mixtures of multivariate skew $t$-distributions for model-based clustering of flow cytometry data
Hejblum, Boris P.
Compositional mediation analysis for microbiome studies
Sohn, Michael B.
Climate inference on daily rainfall across the Australian continent, 1876–2015
Lau, John W.
Modelling ocean temperatures from bio-probes under preferential sampling
Complete spatial model calibration
Reich, Brian J.
Extended sensitivity analysis for heterogeneous unmeasured confounding with an application to sibling studies of returns to education
Hasegawa, Raiden B.
Fogarty, Colin B.
A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles
Jona Lasinio, Giovanna
Fused comparative intervention scoring for heterogeneity of longitudinal intervention effects
Huling, Jared D.
Graphical models for zero-inflated single cell gene expression
Common and individual structure of brain networks
TreeClone: Reconstruction of tumor subclone phylogeny based on mutation pairs using next generation sequencing data
Latent space modelling of multidimensional networks with application to the exchange of votes in Eurovision song contest
Murphy, Thomas Brendan
Modeling association in microbial communities with clique loglinear models
Variable prioritization in nonlinear black box methods: A genetic association case study
Runcie, Daniel E.
Flaxman, Seth R.
Coherence-based time series clustering for statistical inference and visualization of brain connectivity