The Joint Statistical Meetings Annual Conference 2019

Skip Navigation

Back to Press Kits

About the Newsroom

Facts for Features

Press Releases

Press Kits

Stats for Stories

Tip Sheets

The Joint Statistical Meetings Annual Conference 2019

July 27, 2019

Component ID: #ti1423462133

July 27 – August 1, 2018, Denver, Colorado

The Joint Statistical Meetings Conference 2019 features the theme #LeadWithStatistics and consists of invited, topic-contributed, and contributed technical sessions, poster presentations and roundtable discussions with Census Bureau employees.

PRESS RELEASE | JULY 26, 2019

2019 Joint Statistical Meetings Conference

Researchers from the U.S. Census Bureau, along with many other statistical and survey research professionals will present findings at the JSM conference.

Presentations

2019 Multiple Imputation and Hot Deck Methods in the American Housing Survey [<1.0 MB]

A Comparison of Alternative Optimization Techniques for Sample Allocation in Surveys with National and Sub-National Precision Requirements* [<1.0 MB]

Applying the EM Algorithm to Multivariate Signal Extraction - JSM 2019 [3.7 MB]

Assessing the Relationship between Balanced Sample and Sample Representativity [<1.0 MB]

Assessment of Computer Availability and Internet Access Statistics to Improve the Planning Database's Low Response Score [<1.0 MB]

Broad Roles for Administrative and Third Party Data in the ACS [<1.0 MB]

CBAMS: A Case Study in Differential Privacy at the U.S. Census Bureau [<1.0 MB]

Deploying Differential Privacy for the 2020 Census of Population and Housing [1.3 MB]

Disclosure Avoidance At-Scale [<1.0 MB]

Estimating the Variance of Complex Differentially Private Algorithms [<1.0 MB]

Examining Poverty in 2016 and 2017 Using the Legacy and Updated Current Population Survey Processing Systems [1.7 MB]

Finite mixture clustering of risk behaviors for an infectious disease [<1.0 MB]

Frame Development and Sample Design for the 2018 National Survey of Children's Health [<1.0 MB]

From a 6 Digit to a 4 Digit Code_How the Census Bureau Implements the Standard Occupation Classification System [<1.0 MB]

Generating Microdata with Complex Invariants under Differential Privacy [<1.0 MB]

Imputing seasonal data in an advanced indicator with forecasts from X-13ARIMA-SEATS [<1.0 MB]

Incorporating Variance and Geographic Specificity into the Imputation Frame Used in Weighting the American Community Survey Group Quarters Sample [<1.0 MB]

Model-assisted Estimation of Mixed-Effect Model Parameters in Complex Surveys [<1.0 MB]

Modifying State Sample Sizes for National Crime Victimization Survey [<1.0 MB]

Multidimensional Skills and the Returns to Schooling [<1.0 MB]

Official Statistics at the Crossroads: Data Quality and Access in an Era of Heightened Privacy Risk [<1.0 MB]

Preliminary Research Investigating the Use of Administrative Records in the American Community Survey [<1.0 MB]

Promises and Challenges of Linked Rent Data from the Consumer Expenditure Survey and Housing and Urban Development [<1.0 MB]

Quadratic Prediction of Time Series via Auto-Cumulants [<1.0 MB]

Regression Composite Estimation for Current Population Survey [<1.0 MB]

Seasonal Adjustment Subject to Frequency Aggregation Constraints [<1.0 MB]

Simulating ACS Housing Estimates Using Administrative Data [1.5 MB]

Using Machine Learning to Assign North American Industry Classification System Codes to Establishments Based on Business Description Write-Ins [<1.0 MB]

Using Paradata to Explore Users Pathways Through Web Surveys [<1.0 MB]

Using Statistical Models in Place of Clerical Matching in the Census 2020 Post-Enumeration Survey [<1.0 MB]

Remarks

John M. Abowd: Official Statistics at the Crossroads: Data Quality and Access in an Era of Heightened Privacy Risk [<1.0 MB]

E-Posters

Assessing the Relationship between Balanced Sample and Sample Representativity [<1.0 MB]

Modifying State Sample Sizes for the National Crime Victimization Survey [<1.0 MB]

To Adjust or Not to Adjust? An Empirical Evaluation of Time Series with Unstable Seasonal Patterns [1.1 MB]

Using Paradata to Explore Users Pathways Through Web Surveys [<1.0 MB]

Background

2018 Joint Statistical Meetings website

2018 Joint Statistical Meetings Conference program