Annals of Applied Statistics

VARIABLE PRIORITIZATION IN NONLINEAR BLACK BOX METHODS: A GENETIC ASSOCIATION CASE STUDY1.

BAYESIAN METHODS FOR MULTIPLE MEDIATORS: RELATING PRINCIPAL STRATIFICATION AND CAUSAL MEDIATION IN THE ANALYSIS OF POWER PLANT EMISSION CONTROLS.

CAUSAL INFERENCE IN THE CONTEXT OF AN ERROR PRONE EXPOSURE: AIR POLLUTION AND MORTALITY.

THREE-WAY CLUSTERING OF MULTI-TISSUE MULTI-INDIVIDUAL GENE EXPRESSION DATA USING SEMI-NONNEGATIVE TENSOR DECOMPOSITION.

Genome-wide analyses of sparse mediation effects under composite null hypotheses

SPATIO-TEMPORAL SHORT-TERM WIND FORECAST: A CALIBRATED REGIME-SWITCHING METHOD.

ESTIMATING POPULATION AVERAGE CAUSAL EFFECTS IN THE PRESENCE OF NON-OVERLAP: THE EFFECT OF NATURAL GAS COMPRESSOR STATION EXPOSURE ON CANCER MORTALITY.

Modeling seasonality and serial dependence of electricity price curves with warping functional autoregressive dynamics

GRAPHICAL MODELS FOR ZERO-INFLATED SINGLE CELL GENE EXPRESSION.

NETWORK MODELLING OF TOPOLOGICAL DOMAINS USING HI-C DATA.

Robust elastic net estimators for variable selection and identification of proteomic biomarkers

Identifying multiple changes for a functional data sequence with application to freeway traffic segmentation

Fast dynamic nonparametric distribution tracking in electron microscopic data

BAYESIAN LATENT HIERARCHICAL MODEL FOR TRANSCRIPTOMIC META-ANALYSIS TO DETECT BIOMARKERS WITH CLUSTERED META-PATTERNS OF DIFFERENTIAL EXPRESSION SIGNALS.

Bayesian analysis of infant’s growth dynamics with in utero exposure to environmental toxicants

A HIDDEN MARKOV MODEL APPROACH TO CHARACTERIZING THE PHOTO-SWITCHING BEHAVIOR OF FLUOROPHORES.

Incorporating conditional dependence in latent class models for probabilistic record linkage: Does it matter?

A SEMIPARAMETRIC MODELING APPROACH USING BAYESIAN ADDITIVE REGRESSION TREES WITH AN APPLICATION TO EVALUATE HETEROGENEOUS TREATMENT EFFECTS.

Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways

On Bayesian new edge prediction and anomaly detection in computer networks

A simple, consistent estimator of SNP heritability from genome-wide association studies

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

New formulation of the logistic-Gaussian process to analyze trajectory tracking data

A penalized regression model for the joint estimation of eQTL associations and gene network structure

A Bayesian race model for response times under cyclic stimulus discriminability

Empirical Bayes analysis of RNA sequencing experiments with auxiliary information

Prediction of small area quantiles for the conservation effects assessment project using a mixed effects quantile regression model

Modeling within-household associations in household panel studies

A hierarchical Bayesian model for single-cell clustering using RNA-sequencing data

Modeling biomarker ratios with gamma distributed components

Fused comparative intervention scoring for heterogeneity of longitudinal intervention effects

Modelling ocean temperatures from bio-probes under preferential sampling

Bayesian modeling of the structural connectome for studying Alzheimer’s disease

Identifying and estimating principal causal effects in a multi-site trial of Early College High Schools

RADIO-IBAG: RADIOMICS-BASED INTEGRATIVE BAYESIAN ANALYSIS OF MULTIPLATFORM GENOMIC DATA.

Oblique random survival forests

JOINT MEAN AND COVARIANCE MODELING OF MULTIPLE HEALTH OUTCOME MEASURES.

NONPARAMETRIC INFERENCE FOR IMMUNE RESPONSE THRESHOLDS OF RISK IN VACCINE STUDIES.

Ground-level ozone: Evidence of increasing serial dependence in the extremes

EARLY DIAGNOSIS OF NEUROLOGICAL DISEASE USING PEAK DEGENERATION AGES OF MULTIPLE BIOMARKERS.

A latent discrete Markov random field approach to identifying and classifying historical forest communities based on spatial multivariate tree species counts

Bayesian indicator variable selection to incorporate hierarchical overlapping group structure in multi-omics applications

Capturing heterogeneity of covariate effects in hidden subpopulations in the presence of censoring and large number of covariates

Joint model of accelerated failure time and mechanistic nonlinear model for censored covariates, with application in HIV/AIDS

Bayesian Semiparametric Joint Regression Analysis of Recurrent Adverse Events and Survival in Esophageal Cancer Patients.

A Hierarchical Curve-Based Approach to the Analysis of Manifold Data.