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Legislative prediction with dual uncertainty minimization from heterogeneous information Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Yu Cheng, Ankit Agrawal, Huan Liu, Alok Choudhary
  • Published Date: Apr 21, 2016

Voting on legislative bills to form new laws serves as a key function of most of the legislatures. Predicting the votes of such deliberative bodies leads better understanding of government...

Fast robust SUR with economical and actuarial applications Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Mia Hubert, Tim Verdonck, Özlem Yorulmaz
  • Published Date: May 06, 2016

The seemingly unrelated regression (SUR) model is a generalization of a linear regression model consisting of more than one equation, where the error terms of these equations are...

On the eigen‐functions of dynamic graphs: Fast tracking and attribution algorithms Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Chen Chen, Hanghang Tong
  • Published Date: Jun 30, 2016

Eigen‐functions are of key importance in graph mining since they can be used to approximate many graph parameters, such as node centrality, epidemic threshold, graph robustness, with high...

Structuring an Enterprise Risk Assessment Protocol: Traditional Practice and New Methods Early View

  • Journal: Risk Management and Insurance Review
  • Authors: Mark Abkowitz, Janey Camp
  • Published Date: Jan 31, 2017

Abstract In a world that has become increasingly complex, enterprise risk management (ERM) has emerged as a practice for identifying reasonably foreseeable hazards that...

NCME 2017 Annual Meeting Early View

  • Journal: Educational Measurement: Issues and Practice
  • Published Date: Jul 19, 2016

Within‐High‐School Versus Across‐High‐School Scaling of Admissions Assessments: Implications for Validity and Diversity Effects Early View

  • Journal: Educational Measurement: Issues and Practice
  • Authors: Jack W. Kostal, Paul R. Sackett, Nathan R. Kuncel, Philip T. Walmsley, Melissa S. Stemig
  • Published Date: Dec 14, 2016

Previous research has established that SAT scores and high school grade point average (HSGPA) differ in their predictive power and in the size of mean differences across racial/ethnic...

Why Do Achievement Measures Underpredict Female Academic Performance? Early View

  • Journal: Educational Measurement: Issues and Practice
  • Authors: Krista Mattern, Edgar Sanchez, Edwin Ndum
  • Published Date: Jan 25, 2017

In the context of college admissions, the current study examined whether differential prediction of first‐year grade point average (FYGPA) by gender could be explained by an omitted...

Modern perspectives on statistics for spatio‐temporal data Early View

  • Journal: WIREs Computational Statistics
  • Authors: Christopher K. Wikle
  • Published Date: Nov 20, 2014

Spatio‐temporal statistical models are increasingly being used across a wide variety of scientific disciplines to describe and predict spatially explicit processes that evolve over time....

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