Alan F. Karr

Alan Karr
NISS Position: 
NISS Senior Fellow

Dr. Alan F. Karr is currently the Director of the Center of Excellence for Complex Data Analysis (CoDA) at RTI International. Dr. Karr is the former director of the National Institute of Statistical Sciences, located in Research Triangle Park, North Carolina. Karr was director for fourteen years and previously was assistant director from 1992 – 2000. He is also Professor, Statistics and Biostatistics, University of North Carolina at Chapel Hill.  

Karr received his Bachelor of Science degree in Industrial Engineering from Northwestern University, 1969 with highest distinction. He continued at Northwestern University receiving his Masters of Science degree in Industrial Engineering in 1970 and his Ph.D. in Applied Mathematics in 1973.

Karr spent roughly twenty years at Johns Hopkins University in the Mathematical Sciences Department. He was a Professor in the Department from 1983-1993 and was the Assistant Professor from 1973-1983. He served as Chair of the Department from 1985-86. He also served as Associate Dean, G.W.C. Whiting School of Engineering from 1986-1992.

Karr has published over 110 scientific papers and written two books, Point Processes and their Statistical Inference and Probability. He is a Contributing Editor, IMS Bulletin. He has also served on the Army Science Board and has been an associate editor for the Operations Research Letters, the Mathematics of Operations Research and the SIAM Journal on Applied Mathematics. He is also a Fellow of the American Statistical Association, the Institute of Mathematical Sciences, and an elected member of the International Statistical Institute.

NISS Research Projects

Technical Reports

  • Workshop Report: Workshop on Statistics and Information Technology -
  • Workshop Report: Affiliates Workshop on Data Quality -
  • Why Data Availability is Such a Hard Problem -
  • WEB-Based Text Visualization -
  • Water Permeability of Cracked High Strengh Concrete -
  • Visualizing Software Changes -
  • Visual Scalability -
  • Variability of Travel Times on Arterial Links: Effects of Signals and Volume -
  • Variability of Travel Times on Arterial Links: Effects of Signals and Volume -
  • Title IX Data Collection: Technical Manual for Developing the User's Guide -
  • The World's Simplest Survey Microsimulator (WSSM) -
  • The Effect of Statistical Disclosure Limitation on Parameter Estimation for a Finite Population -
  • Table Servers: Protecting Confidentiality in Tabular Data Releases -
  • Survey Costs: Workshop Report and White Paper -
  • Statistics and Materials Science- A Report of a workshop -
  • Statistical Disclosure Limitation in the Presence of Edit Rules -
  • Statistical Analyses of Freeway Traffic Flows -
  • Software Systems for Tabular Data Releases -
  • Simultaneous Edit-Imputation for Continuous Microdata -
  • Sensitivity to Noise Variance in a Social Network Dynamics Model -
  • Secure, Privacy-Preserving Analysis of Distributed Databases -
  • Secure Statistical Analysis of Distributed Databases -
  • Secure Regression on Distributed Databases -
  • Secure Regression for Vertically Partitioned, Partially Overlapping Data -
  • Secure computation with horizontally partitioned data using adaptive regressive splines -
  • Secure Analysis of Distributed Chemical Databases without Data Integration -
  • Risk-Utility Paradigms for Statistical Disclosure Limitation:How to Think, But Not How to Act -
  • Real-Time Prediction of Incipient Congestion on Freeways from Detector Data -
  • Privacy Preserving Regression Modelling via Distributed Computation -
  • Privacy Preserving Analysis of Vertically Partitioned Data Using Secure Matrix Products -
  • Preserving Confidentiality of High-dimensional Tabulated Data: Statistical and Computational Issues -
  • Predicting Fault Incidence Using Software Change History -
  • Permeability Study of Cracked Concrete -
  • Permeability of Cracked Steel Fiber-Reinforced Concrete -
  • Permeability and Healing of Cracked Concrete -
  • NISS WebSwap: A Web Service for Data Swapping -
  • Multiple Imputation of Race for Project TALENT -
  • Multiple Imputation of Missing or Faulty Values Under Linear Constraints -
  • Multinomial Logistic Regression with Data from Multi-Cohort Longitudinal Surveys -
  • Influence of Microstructure and Fracture on the Transport Properties in Cement- Based Materials -
  • Frequency of Probe Vehicle Reports and Variance of Arterial Link Travel Time Estimates -
  • Experimental Studies of the Chloride Permeability of Concrete -
  • Estimation of Propensity Scores Using Generalized Additive Model -
  • Does Code Decay? Assessing the Evidence from Change Management Data -
  • Distortion Measures for Categorical Data Swapping -
  • Disseminating Information but Protecting Confidentiality -
  • Data Swapping: A Risk-Utility Framework and Web Service Implementation -
  • Data Swapping as a Decision Process -
  • Data Quality: A Statistical Perspective -
  • Data Quality: A Statistical Perspective -
  • Data Quality and Data Confidentiality for Microdata: Implications and Strategies -
  • Data Dissemination and Disclosure Limitation in a World Without Microdata: A Risk-Utility Framework for Remote Access Analysis Servers -
  • Construction of Full Sample and Replicate Weights for Project Talent, with Applications -
  • Computer Intrusion: Detecting Masquerades -
  • Combining Cohorts in Longitudinal Surveys -
  • Classification of Partially Observed Data with Association Trees -
  • Bayesian Multiscale Multiple Imputation with Implications to Data Confidentiality -
  • Bayesian Methodology for Spatio-Temporal Syndromic Surveillance -
  • Analysis of Probe-Based Information on Signalized Arterials -
  • A Spatio-Temporal Absorbing State Model for Disease and Syndromic Surveillance -
  • A Risk-Utility Framework for Categorical Data Swapping -
  • A Model for Relating Browser Behavior to Site Design on the World Wide Web -
  • A Framework for Evaluating the Utility of Data Altered to Protect Confidentiality -
  • A Class of Experimental Design for Estimating a Response Surface and Variance Components -
  • A Bayesian Semiparametric Model for Small Domain Estimation, with application to the National Survey of Recent College Graduates -