Mathematics & Statistics

Statistics Faculty Research

Below you will see information about the research output of regular faculty from The Ohio State University's Department of Statistics. This information is current as of February 2023. Information based upon data retrieved from Scopus.  Links provided to content are for Ohio State user access.

Scroll below to see information about the top-cited titles and collaboration information. To the right, are the journals in which faculty most often published.

These are the 25 most recent publications (Scopus, as of February 2023) from Statistics faculty. Click to access (may require off-campus sign in).

• On the effects of selection and mutation on species tree inference
• Two-stage cluster samples with judgment post-stratification
• Combining ranking information from different sources in ranked-set samples
• Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data
• Asymptotic theory in bipartite graph models with a growing number of parameters
• The taxicab sampler: MCMC for discrete spaces with application to tree models
• Asymptotic theory in network models with covariates and a growing number of node parameters
• Using BART to Perform Pareto Optimization and Quantify its Uncertainties
• Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse, and Fragmented Functional Data
• Radiohead: radiogenomic analysis incorporating tumor heterogeneity in imaging through densities
• Exploring the direct and indirect effects of elite influence on public opinion
• Comparative Performance of Popular Methods for Hybrid Detection using Genomic Data
• A fast likelihood approach for estimation of large phylogenies from continuous trait data
• ICN: Extracting interconnected communities in gene co-expression networks
• Aggregated pairwise classification of elastic planar shapes
• Semiparametric estimation for average causal effects using propensity score-based spline
• Polluted bootstrap percolation in three dimensions
• Prediction of non-stationary response functions using a Bayesian composite Gaussian process
• Detecting X-linked common and rare variant effects in family-based sequencing studies
• A class of generalized linear mixed models adjusted for marginal interpretability
• Bayesian Restricted Likelihood Methods: Conditioning on Insufficient Statistics in Bayesian Regression (with Discussion)*
• Economic variable selection
• Collaborative Multilabel Classification
• Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment
• Consistency of SVDQuartets and maximum likelihood for coalescent-based species tree estimation

These are the 25 most cited journal articles (Scopus, as of February 2023) from Statistics faculty. Click to access (may require off-campus sign in).

• Inconsistency of phylogenetic estimates from concatenated data under coalescence  713 citations
• Quartet inference from SNP data under the coalescent model 635 citations
• Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data 498 citations
• Estimating mixture of dirichlet process models 399 citations
• STEM: Species tree estimation using maximum likelihood for gene trees under coalescence 347 citations
• Coalescent methods for estimating phylogenetic trees 281 citations
• Bayesian lasso regression 231 citations
• Classification of multiple cancer types by multicategory support vector machines using gene expression data 247 citations
• Bayesian nonparametric spatial modeling with dirichlet process mixing 231 citations
• A semiparametric Bayesian model for randomised block designs 228 citations
• An ANOVA model for dependent random measures 219 citations
• Likelihood-based selection and sharp parameter estimation 154 citations
• Shotgun stochastic search for "large p" regression 144 citations
• Identifying hybridization events in the presence of coalescence via model selection 134 citations
• Classification with reject option 126 citations
• Statistical literacy as a goal for introductory statistics courses 126 citations
• Sequential importance sampling for nonparametric Bayes models: The next generation 126 citations
• Sources of error inherent in species-tree estimation: Impact of mutational and coalescent effects on accuracy and implications for choosing among different methods 116 citations
• Inferring species-level phylogenies and taxonomic distinctiveness using multilocus data in sistrurus rattlesnakes 98 citations
• Meta-analysis of rare binary adverse event data 88 citations
• A comparison of normalization techniques for microRNA microarray data 86 citations
• Statistical analysis of trajectories on riemannian manifolds: Bird migration, hurricane tracking and video surveillance 79 citations
• HyDe: A python package for genome-scale hybridization detection 78 citations
• Integration of ranked lists via cross entropy Monte Carlo with applications to mRNA and microRNA studies 74 citations
• Bayesian solution uncertainty quantification for differential equations  69 citations

Statistics faculty have worked with coauthors from across the globe.  Here are collaborators' countries as of February 2023.

Examining the documents published by Statisticsfaculty, institutions with more than 5 documents are mapped below.

Below are the top sources in which Statistics faculty are publishing. Click the link to visit the title online.