Use the sidebar menus to view lists of recent publications, submitted manuscripts, talks, poster presentations, and grant funding related to our node research.
Murray, J. S. (2016) "Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering," Journal of Privacy and Confidentiality: Vol. 7: Iss. 1, Article 2.
Sadinle, M. (2016) Bayesian Estimation of Bipartite Matchings for Record Linkage. Journal of the American Statistical Association. In press, online Feb 2016.
Steorts, R. C., Hall, R., and Fienberg, S. E. (2016). A Bayesian Approach to Graphical Record Linkage and Deduplication. Journal of the American Statistical Association. (In press).
Ventura, S.L., Nugent, R., and Yurko, R. (2016). PREDS: Prediction with Ensembles using Distribution Summaries. Submitted.
Ventura, S.L. and Nugent, R. (2016). Sequential Blocked Hierarchical Clustering \\for Efficient Record Linkage. Submitted.
Ventura, S., Nugent, R., and Fuchs, E. (2015). Seeing the Non-Stars: (Some) sources of bias in past disambiguation approaches and a new public tool leveraging labeled records. Research Policy (selected for Special Issue on Big Data), Vol 44, Issue 9, Nov 2015, p.1672-1701. [.pdf]
Steorts, R. C. Entity Resolution with Empirically Motivated Priors. Bayesian Analysis 10 (2015), no. 4, 849--875.
Sadinle, M (2014). Detecting Duplicates in a Homicide Registry Using a Bayesian Partitioning Approach. Annals of Applied Statistics, Volume 8, Number 4.
Ventura S, Nugent R, and Fuchs, E (2014). Hierarchical Linkage Clustering with Distributions of Distances for Large Scale Record Linkage. Privacy in Statistical Databases 2014 Conference Proceedings, (Lecture Notes in Computer Science 8744)}, ed. J. Domingo-Ferrer, Springer (peer-reviewed), p.283--298.
Steorts R, Ventura S, Sadinle M, and Fienberg S.E. (2014). Blocking Comparisons for Record Linkage. Privacy in Statistical Databases 2014 Conference Proceedings, Springer (peer-reviewed). To appear.
Steorts, R., Hall, R., and Fienberg, S.E. (2014). SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication, AISTATS 2014 Proceedings, JMLR W&CP 33: 922-930, 2014.
Sadinle, M. and Fienberg, S.E. (2013). A Generalized Fellegi-Sunter Framework for Multiple Record Linkage With Application to Homicide Record Systems, Journal of the American Statistical Association, 2013, Vol. 108, No. 502, pages 385-397. [.pdf]
Hall, R., Steorts, R., and Fienberg, S.E. (2012). Bayesian parametric and nonparametric inference for multiple record linkage, Modern Nonparametric Methods in Machine Learning Workshop, NIPS. [.pdf]
Sadinle, M., Hall, R., and Fienberg, S.E. (2011). Approaches to Multiple Record Linkage. "In Proceedings of the 58th World Statistical Congress", 2011, Dublin, pages 1064-1071. International Statistical Institute.[.pdf]
Frisoli, K. "An active learning approach to record linkage at the U.S. Census Bureau", Joint Statistical Meetings, Baltimore, MD, August 2017.
Murray, J.S. "Probabilistic Record Linkage after Indexing, Blocking, and Filtering". Isaac Newton Institute, Cambridge, UK. July 2016.
Frisoli, K. "An active learning apporach to record linkage at the U.S. Census Bureau", Classification Society Annual Meetings. Silicon Valley, CA, June 2017.
Ventura, S, "PREDS: Prediction with Ensembles using Distributional Summaries for Record Linkage", Conference on Statistical Learning and Data Science. (Chapel Hill, NC), June 2016.
Frisoli, K. "An active learning approach to record linkage". Classification Society Annual Meetings. Columbia, MO, June 2016.
Ventura, S, "A Sequential Blocking Approach for Efficient Record Linkage", Classification Society Annual Meeting. Columbia, MO, June 2016.
Ventura, S. "Statistics? I Hated That Class: Why You Should Love Statistics in 2016", Allegheny Health Network Innovation Forum, Nemacolin, PA, April 2016. (Keynote)
Ventura, S, "Classification and Clustering for Large-Scale Record Linkage", Bucknell University Mathematics Seminar Series. Lewisburg, PA, December 7, 2015.
Murray, J. S. "Probabilistic Record Linkage after Indexing, Blocking, and Filtering". Computational Finance and Econometrics. Seville, ES. December 2015.
Sadinle, M. "Bipartite Matching Estimation for Record Linkage." World Statistics Congress, Rio de Janeiro, Brazil. July 2015.
Ventura, S, "Large-Scale Classification and Clustering Methods with Applications in Record Linkage", International Federation of Classification Societies. Annual Meeting Bologna, IT, July 2015.
Ventura, S, "Large-Scale Classification and Clustering Methods with Applications in Record Linkage", The Interface of Computing Science and Statistics. Morgantown, WV, June 11, 2015.
Ventura, S, "Large-Scale Classification and Clustering Methods with Applications in Record Linkage", Classification Society Annual Meeting. Hamilton, ON, June 6, 2015.
Fienberg, S. "Record Linkage as a Statistical Problem: Privacy and Confidentiality: Some History, Formal Approaches, Applications, and Challenges," Israel Statistical Association Workshop, Tel Aviv University, Tel Aviv Israel. May 28, 2015.
Steorts, R. "Discussion of 'Doing Data Science, Straight Talk from the Frontline', by Rachel Schutt, Chief Data Scientist and Senior Vice President of NewsCorp", Special Invited Session, ENAR, March 2015.
Ventura, S, "Hierarchical Linkage Clustering with Distributions of Distances for Large-Scale Record Linkage", Privacy in Statistical Databases. Ibiza, ES, September, 2014.
Steorts, R. "K-Means Locality Sensitive Hashing as Applied to Human Rights Violations". Privacy in Statistical Databases, Ibiza, ES, September 2014.
Ventura, S. "Large-Scale Clustering Approaches for Identifying Unique Human Rights Violations", Joint Statistical Meetings. Boston, MA, August 2014. Invited talk.
Sadinle, M. "An Overview of Record Linkage". Workshop on Computational Methods for Survey and Census Data in the Social Sciences, Canadian Statistical Sciences Institute (CANSSI). Montreal, Canada, June 2014. Invited talk.
Ventura, S. "Hierarchical Linkage Clustering with Distributions of Distances". ASA Section on Statistical Learning and Data Mining Annual Meeting. Research Triangle Park, NC, June 2014. Invited talk.
Steorts R. "Record Linkage and Other Statistical Models for Quantifying Conflict Casualties in Syria". ASA Section on Statistical Learning and Data Mining Annual Meeting. Research Triangle Park, NC, June 2014. Invited talk.
Sadinle, M. "Detecting Killings Reported Multiple Times to the United Nations Truth Commission for El Salvador". Transition Workshop for SAMSI 2013-2014 on Computational Methods in Social Sciences. May 2014. Invited talk.
Sadinle, M. "A Bayesian Framework for Duplicate Detection, Record Linkage, and Subsequent Inference with Linked Files".SAMSI Census and Surveys Computational Methods Workshop. Washington D.C., January 2014. Invited talk.
Steorts R, Ventura S, Nugent R, and Furnish E. "Clustering approaches to identify human rights violations". SAMSI Census and Surveys Computational Methods Workshop. Washington D.C., January 2014. Invited talk.
Ventura, S. and Nugent, R. "Blocked Hierarchical Clustering for Identifying Duplicated Text Records". SAMSI Census and Surveys Computational Methods Workshop, Washington D.C., January 2014. Poster.
Ventura, S. "Improving USPTO Inventor Disambiguation Algorithms with Classification Models and Labeled Inventor Records". Academy of Management Annual Meeting, Orlando, FL, August 2013. Contributed talk.
Sadinle, M. "Duplicate Record Detection Using a Bayesian Partitioning Model". Joint Statistical Meetings Montreal, Canada, August 2013. Topic-Contributed talk.
Steorts, R. "Will the real Steve Fienberg please stand up: Getting to know a population from incomplete files". Joint Statistical Meetings Montreal, Canada, August 2013. Invited talk.
Ventura, S. "Deduplicating Text Records with Aggregated Classifiers and Blocked Hierarchical Clustering". Joint Statistical Meetings Montreal, Canada, August 2013. Invited talk.
Sadinle, M. "Duplicate Record Detection Using a Bayesian Partitioning Model". SAMSI Computational Methods in Social Sciences Opening Workshop, Research Triangle Park, NC, August 2013. Poster.
Ventura, S. and Nugent, R. "Blocked Hierarchical Clustering for Identifying Duplicated Text Records". SAMSI Computational Methods in Social Sciences Opening Workshop, Research Triangle Park, NC, August 2013. Poster.
Ventura, S and Nugent, R. "Blocked Model-Based Clustering for Identifying Duplicated Text Records". Working Group on Model-based Clustering, Bologna, Italy, July 2013. Poster.
Nugent, R. "Deduplicating Text Records in 'Big Data'?: Scaling Up with Aggregated Classifiers and Blocked Hierarchical Clustering". International Federation of Classification Societies Meeting (IFCS 2013), Tilburg, Netherlands, July 2013. Invited talk.
Ventura, S. "Deduplicating Text Records in Large Scale Databases with Classifier Aggregation and Clustering". Classification Society Annual Meeting, Milwaukee, WI, June 2013. Invited talk.
Steorts, R., Hall, R., and Fienberg, S.E. "Will the Real Steve Fienberg Please Stand Up: Getting to know a population from multiple incomplete files". Multi-node conference at the National Institute of Statistical Sciences, May 2013.
Sadinle, M. "A Partition Model for Deduplication". Multi-node conference at the National Institute of Statistical Sciences, May 2013.
Ventura, S. and Nugent, R. "A Supervised Learning Approach for Identifying Duplicated Text Records". [.pdf]. Multi-node conference at the National Institute of Statistical Sciences, May 2013.
Ventura, S. "Methods Matter: Improving USPTO Inventor Disambiguation Algorithms with Classification Models and Labeled Inventor Records". >Roundtable for Engineering Entrepreneurship Research Annual Meeting (REER), Atlanta, GA, November 2012.
Nugent, R. "Solving the Identity Crisis: Inventor Disambiguation using a Forest of Random Forests". Bucknell University, Department of Mathematics, Lewisburg, PA, October 2012. Invited Seminar, Distinguished Visiting Professor Program.
Sadinle, M. "Multiple Record Linkage Using a Generalized Fellegi-Sunter Framework". Classification Society Annual Meetings Pittsburgh, PA, June 2012. Invited talk.
Ventura, S. "Disambiguating USPTO Inventors with Classification Models Trainied on Comparisons of Labeled Inventor Records". Classification Society Annual Meetings , Pittsburgh, PA, June 2012. Invited talk.
Improving Probabilistic Record Linkage and Subsequent Inference, National Science Foundation (2016), $225,000, PI: Murray
Computationally Scalable Statistical Methods for High Dimensional Record Linkage, The University of Chicago Metaknowledge Lab/Templeton Foundation, $135,000 (2015), PI: Steorts
Brandimarte, L and Acquisti, A (2016) "Aiming at a More Cost-Effective Census via Online Data Collection: Privacy Tradeoffs of Geo-Location". Submitted.
Kim, Nicolas (2016) "The Effect of Data Swapping on Analyses of American Community Survey Data," Journal of Privacy and Confidentiality: Vol. 7: Iss. 1, Article 3.
Peer, E., Samat, S., Brandimarte, L., and Acquisti, A. (2015) "Beyond the Turk: An empirical comparison of alternative platforms for crowdsourcing online research". Submitted.
Acquisti A and Taylor C. "The Economics of Privacy." Journal of Economic Literature, Commissioned article, to appear 2014.
Peer, E., Vosgerau, J. and Acquisti, A. "Reputation as a sufficient condition for data quality on Amazon Mechanical Turk," Behavior Research Methods, forthcoming 2014.
Peer, E. Acquisti, A, and Shalvi, S. "I cheated, but only a little - Partial confessions to unethical behavior," Journal of Personality and Social Psychology, 106(2), 202-217, 2014.
Woodruff, A., Pihur V., Acquisti, A., Consolvo, S., Schmidt, L., Brandimarte, L. (2014). "Would a privacy fundamentalist sell their DNA for $1000... if nothing bad happened thereafter? A study of the Westin categories, behavioral intentions, and consequences." Proceedings of the Tenth Symposium on Usable Privacy and Security (SOUPS), ACM New York, NY. IAPP SOUPS Privacy Award Winner.
Balsa, E., Brandimarte, L., Acquisti, A., Diaz, C., and Gürses, S. (2014) "Spiny CACTOS: OSN Users Attitudes and Perceptions Towards Cryptographic Access Control Tools." Proceedings of the Workshop on Usable Security (USEC).
Acquisti, A, John L, and Loewenstein, G. "What is Privacy Worth?". Journal of Legal Studies, 42(2), 249-274, 2013. (Leading paper, 2010 Future of Privacy Forum's Best "Privacy Papers for Policy Makers" Competition.)
Romanosky, A, Hoffman, D, and Acquisti, A. "Empirical Analysis of Data Breach Litigation." Journal of Empirical Legal Studies, 11(1), 74-104, 2013.
Wang Y, Leon PG, Chen X, Komanduri S, Norcie G, Scott K, Acquisti, A, Cranor LF, and Sadeh N. "From Facebook Regrets to Facebook Privacy Nudges". Ohio State Law Journal, 2013 (invited paper).
Acquisti A. "Complementary Perspectives on Privacy and Security: Economics," IEEE Security & Privacy 11(2), 2013 (invited paper).
Brandimarte, L., Acquisti, A. and Loewenstein, G. (2013). "Misplaced Confidences: Privacy and the Control Paradox." Social Psychological and Personality Science, 4(3): 340-347.
Adjerid, I. Acquisti, A. Brandimarte, L. and Loewenstein, G. (2013). "Sleights of Privacy: Framing, Disclosures, and the Limits of Transparency." Proceedings of the Ninth Symposium on Usable Privacy and Security (SOUPS), ACM New York, NY.
Balebako, R., Pe'er, E., Brandimarte, L., Cranor, L. F. and Acquisti, A. (2013). "Is it the Typeset or the Type of Statistics? Disfluent Font and Self-Disclosure." Proceedings of Learning from Authoritative Security Experiment Results (LASER), USENIX Association.
Acquisti, A., Adjerid, I. and Brandimarte, L. (2013). "Gone in 15 Seconds: The Limits of Privacy Transparency and Control." IEEE Security & Privacy, 11(4): 72-74.
Ventura, S. "Statistics? I Hated That Class: Why You Should Love Statistics in 2016", Allegheny Health Network Innovation Forum, Nemacolin, PA, April 2016. (Keynote)
Brandimarte, L. "Attitudes towards geolocation-enabled Census forms". NCRN Spring Meeting, May 2016.
Samat, S. and Brandimarte, L. "Beyond the Turk: An empirical comparison of alternative platforms for crowdsourcing online research". Crowdsourcing and Online Behavioral Experiments Workshop. October 2015.
Brandimarte, L. "Beyond the Turk: An empirical comparison of alternative platforms for crowd-sourcing online research". Crowdsourcing and online Behavioral Experiments Workshop. June 2015.
Fienberg, S. "Record Linkage as a Statistical Problem: Privacy and Confidentiality: Some History, Formal Approaches, Applications, and Challenges," Israel Statistical Association Workshop, Tel Aviv University, Tel Aviv Israel. May 28, 2015.
Fienberg, S. "Privacy and Confidentiality: Some History, Formal Approaches, Applications, and Challenges," Israel Statistical Association Workshop, Tel Aviv University, Tel Aviv Israel. May 28, 2015.
Fienberg, S. "Informal seminar on privacy and confidentiality," Central Bureau of Statistics, Jerusalem Israel. May 21, 2015.
Brandimarte, L. "Aiming at a More Cost-Efficient Census: Privacy Trade-Offs of Geo-Location". Conference on Information Systems and Technology (CIST). November 2014.
Brandimarte, L. "Aiming at a More Cost-Efficient Census: Privacy Trade-Offs of Geo-Location". Security and Human Behavior Workshop (SHB). June 2014.
Brandimarte, L. "Aiming at a More Cost-Efficient Census: Privacy Trade-Offs of Geo-Location". Workshop on the Economics of Information Systems (WEIS). June 2014.
Wang Y, Leon P, Acquisti A, Cranor LF, Forget A, Sadeh N. "A Field Trial of Privacy Nudges for Facebook," ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2014.
Forget A, Komanduri S, Acquisti A, Christin N, Cranor LF, and Telang R. "Building the Security Behavior Observatory: An Infrastructure for Long-term Monitoring of Client Machines," ACM HotSoS, 2014 (Poster).
Brandimarte, L and Acquisti, A. "Aiming at a more cost-efficient Census via online data collection - Privacy tradeoffs of geo-location". Workshop on the Economics of Information Systems (WEIS), June 2014.
Brandimarte, L and Acquisti, A. "Baring Out with Iron Hands: Can Disclosing Make Us Harsher?" Privacy Law Scholars Conference, June 2014.
Brandimarte, L and Acquisti, A. "Social Media and Voluntary Disclosure of Big Data: Unexpected Consequences of Online Disclosures". American Association for Public Opinion Research (AAPOR), May 2014.
Brandimarte, L and Acquisti, A. "Gone in 15 seconds: The Limits of Transparency and Control". National Institute for Standards and Technology (NIST) Cloud Computing & Mobility Forum/Workshop, March 2014.
Balsa, Ero (collaborator with Acquisti/Brandimarte). "Spiny CACTOS: OSN Users Attitudes and Perceptions Towards Cryptographic Access Control Tools". Workshop on Usable Security (USEC), February 2014.
Brandimarte, L. and Acquisti, A. "The Breach of Privacy in the Digital Age". One World Week Forum, January 2014.
Brandimarte, L and Acquisti, A. "Aiming at a more cost-efficient Census via online data collection - Privacy tradeoffs of geo-location". Workshop on Information Systems and Economics, December 2013.
Vosgerau, J (collaborator with Brandimarte/Acquisti)."For Trust Not Him that Hath Broken Faith Once: Judging the Morality of Others". Society for Judgment and Decision Making Annual Meeting (SJDM), November 2013.
Brandimarte, L and Acquisti, A. "The Discloser's Iron Hand - How Disclosures Make Us Harsher.". Society for Judgment and Decision Making Annual Meeting (SJDM), November 2013.
Brandimarte, L and Acquisti A. "Of Revelations and Iron Hands - Unexpected Effects of Sensitive Disclosures." Association for Consumer Research Conference (ACR), October 2013.
Balebako, R (collaborator with Acquisti/Brandimarte). "Is it the Typeset or the Type of Statistics? Disfluent Font and Self-Disclosure." Learning from Authoritative Security Experiment Result (LASER), October 2013.
Adjerid, I (collaborator with Acquisti/Brandimarte). "Sleights of Privacy: Framing, Disclosures and the Limits of Transparency". Symposium on Usable Privacy and Security (SOUPS), July 2013.
Brandimarte, L and Acquisti, A. "Coming Clean - And With an Iron Hand: Unexpected Effects of Sensitive Disclosures." Advertising and Consumer Psychology Conference (ACP), June 2013.
Brandimarte, L and Acquisti, A. "The Discloser's Iron Hand - How Disclosures Make Us Harsher." Security and Human Behavior (SHB), June 2013.
Brandimarte, L. and Acquisti, A. "Location Tracking and Willingness to Disclose Personal Information". Multi-node conference at the National Institute of Statistical Sciences, May 2013. [.pdf].
Brandimarte, L and Acquisti A. "Control and Transparency - Are They Sufficient Conditions for Privacy Protection?" Privacy feedback and awareness - the what, the how and the who, SPION DTAI Workshop, April 2013.
Vosgerau, J (collaborator with Acquisti/Brandimarte). "Depreciation of The Past: Diagnostic Behaviors Have a Longer-Lasting Impact Than Non-Diagnostic Behaviors". Society for Consumer Psychology Conference (SCP), March 2013.
Brandimarte, L and Acquisti, A. "Online Disclosures and Impression Formation." Society for Personality and Social Psychology 14th Annual Meeting (SPSP), January 2013.
Wang Y, Leon P, Cranor LF, Acquisti A, Chen X, and Scott K. "Privacy Nudges for Social Media: An Exploratory Facebook Study." WWW Workshop on Privacy and Security in Online Social Media (PSOSM), 2013.
Staddon J, Acquisti A, Lefevre K. "Self-reported social network behavior: Accuracy predictors and implications for the privacy paradox." SocialCom, 2013.
Wilson A, Cranshaw J, Sadeh N, Acquisti A, Cranor LF, Springfield J, Jeong SY, Balasubramanian A. "Privacy Manipulation and Acclimation in a Location Sharing Application." UbiComp, 2013
Sleeper M, Cranshaw J, Kelley PG, Ur B, Acquisti A, Cranor LF, Sadeh N. "I read My Twitter the Next Morning and Was Astonished: A Conversational Perspective on Twitter regrets". Proceedings of the 31st annual SIGCHI Conference on Human Factors in Computing Systems (CHI), 2013.
Wang Y, Leon PG, Scotty K, Chen X, Acquisti A, Cranor LF. "An Exploratory Facebook Nudging Study." Workshop on Privacy and Security in Online Social Media (PSOSM) at WWW, 2013.
Almuhumedi H, Wilson S, Liu B, Sadeh N, Acquisti A. "I Wish I Hadn't Tweeted That! Large-Scale Quantitative Analysis of Deleted Tweets." Proceedings of the 16th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW2013), February 2013.
Ghosh, M. and Steorts, R. (2013). Two-stage Bayesian benchmarking as applied to small area estimation, TEST, 22(4), 670-687. [arxiv] .
Steorts, R. and Ghosh, M. (2013). On estimation of mean squared errors of benchmarked empirical Bayes estimators, Statistica Sinica, 23 (2). [arxiv] .
Steorts, R. "Small Areas, Benchmarking, and Political Battles: Today?s Novel Demands in Small-Area Estimation". Joint Statistical Meetings, Topic-Contributed Session, Montreal, Canada, August 2013.
Pane, M. and Steorts, R. "Struggles in Small Area Estimation: Benchmarking and Weighting." Multi-node conference at the National Institute of Statistical Sciences, May 2013.
Kurtz, Z. (2013). Smooth Post-Stratification for Multiple Capture-Recapture, Submitted. [arxiv] .
Kurtz, Z. "Smooth Post-Stratification for Capture-Recapture". Multi-node conference at the National Institute of Statistical Sciences. May 2013. [.pdf].
Kurtz, Z. Lecture on "Nonparametric Density Estimation for Capture-Recapture at Modern Nonparametric Methods in Machine Learning". NIPS, 2012. Video Link
Early K, Fienberg S, Mankoff J (2017). "Dynamic question ordering in survey scoring: Measuring respondents' attitudes with low burden". In submission.
Early K, Mankoff J, Feinberg S (2017). "Dynamic question ordering in online surveys". Journal of Official Statistics.
Early, K, Fienberg S.E., and Mankoff, J (2016). "Test Time Feature Ordering with FOCUS: Interactive Predictions with Minimal User Burden". In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Early K, Fienberg S, Mankoff J (2016). "Cost-effective feature selection and ordering for personalized energy estimates". In Workshops at the Thirtieth AAAI Conference on Artificial Intelligence.
Murray, J.S. and Reiter, J.P. (2016). "Multiple imputation of missing categorical and continuous values via Bayesian mixture models with local dependence". Journal of the American Statistical Association In press, online May 2016.
Hahn, P.R., J. S. Murray, and I. Manolopoulou (2016). "A Bayesian partial identification approach to inferring the prevalence of accounting misconduct". Journal of the American Statistical Association, Vol. 111, Iss. 513.
Fienberg, S. (2015). "Moving toward the new world of censuses and large-scale sample surveys: Methodological developments and practical implementations", Journal of Official Statistics
Fienberg, S. (2015). "Comment on 'Observational Studies' by William G. Cochran", Observational Studies p. 171-172
Crimi, N. and Eddy, W.F. (2014). "Top Coding and Public Use Microdata Samples from the U.S. Census Bureau". Journal of Privacy and Confidentiality, Volume 6, Number 2.
Murray, J.S. "Estimating the Prevalence of Accounting Misconduct with Imperfect Data". Center for Accounting Research and Education Conference, Leesburg, VA. August 2016.
Cuellar, M. "Weeding Out Underreporting: A Study of Trends in Reporting of Marijuana Consumption in the US ". Joint Statistical Meetings, Chicago, IL, August 2016.
Murray, J.S. "Advances in Bayesian Regression Tree Modeling". Joint Statistical Meetings, Chicago, IL. August 2016
Murray, J.S. "Semiparametric Approaches to Principal Stratification in Binary Instrumental Variable Models". International Society for Bayesian Analysis: 13th World Meeting, Sardina, Italy. June 2016.
Murray, J.S. "Semiparametric Bayesian Inference for Partially Identified Conditional Treatment Effects". Atlantic Causal Inference Conference, New York, NY. May 2016
Murray, J. S. "Density Regression with Bayesian Additive Regression Trees". Computational Finance and Econometrics. London, UK. December 2015.
Murray, J. S. "Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models with Local Dependence". Center for Statistical Research and Methodology Seminar Series, U.S. Census Bureau. Suitland, MD. November 2015.
Murray, J. S. "Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models with Local Dependence". Food and Drug Administration Statistics Public Workshop - Planning for and Analysis of Randomized Controlled Clinical Trials and Observational Studies with Missing Data for Tobacco Product Regulatory Submissions. Silver Spring, MD. November 2015.
Fienberg, S. "R.A. Fisher and the Statistical ABCs," COPSS R.A. Fisher Lecture, Joint Statistical Meetings, Seattle WA. August 12, 2015.
Murray, J. S. "Loglinear Bayesian Additive Regression Trees for Classification, Counts and Heteroskedastic Regression". Bayesian Nonparametrics 10, Raleigh, NC. June 2015.
Fienberg, S. "The Promise and Perils of Big Data for Statistical Inference," Keynote Lecture, Israel Statistical Association Annual Meeting, Jerusalem, Israel. May 25, 2015.
Abowd, J. and Fienberg, S. "Can Government-Academic Partnerships Help Secure the Future of the Federal Statistical System? Examples from the NSF-Census Research Network," CNSTAT Public Seminar. Washington DC. May 8, 2015.
Fienberg, S. "Statistical Glimpses." National Academy of Sciences Council, NAS. Beckman Center, University of California Irvine. February 4, 2015.
Crimi, N. and Eddy, W.F "Top Coding in the 2010 1-Year ACS PUMS". Multi-node conference at the National Institute of Statistical Sciences. May 2013. [.pdf].