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Keyword Search Criteria: computing returned 23 record(s)
Sunday, 07/30/2017
Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees
Suzanne Thornton, Rutgers University; Minge Xie, Rutgers University


The Biglasso Package: a Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R
Yaohui Zeng, University of Iowa; Patrick Breheny, University of Iowa
2:25 PM

A General Algorithm for Computing Simultaneous Prediction Intervals for the (Log)-Location-Scale Family of Distributions
William Meeker, Iowa State University; Yimeng Xie, Virginia Tech; Yili Hong, Virginia Tech; Luis A Escobar, Louisiana State University
2:35 PM

Bayesian Inference in Parallel and Distributed Environments: The Hardware/Software Approach to Scalable Computation
Alexander Terenin, University of California, Santa Cruz; David Draper, University of California, Santa Cruz
3:25 PM

Solve Financial Problems by Quantum Computing
Yazhen Wang, University of Wisconsin Madison
4:30 PM

Evaluating the Statistical Significance of Genomic Lesions in Tumors
Stanley Pounds, St. Jude Children's Research Hospital; Xueyuan Cao, St. Jude Children's Research Hospital; Lei Shi, St. Jude Children's Research Hospital; Wenjian Bi, St. Jude Children's Research Hospital
4:35 PM

Monday, 07/31/2017
Dynamic and Interactive Graphics in Lisp-Stat
Luke Tierney, University of Iowa
8:35 AM

Embracing Blessing of Massive Scale in Big Data
Guang Cheng, Purdue; Stanislav Volgushev, Univ of Toronto; Shih-Kang Chao, Purdue
8:35 AM

An Overview of Quantum Computing Concepts and Applications in Healthcare
Steve Adachi, Lockheed Martin Space Systems Company
8:35 AM

Statistical Methods for Prediction of High-Performance Computing I/O Variability
Li Xu, Virginia Tech
8:50 AM

Quantum Computing and Numerical Statistic
Valerii Fedorov, ICONplc
9:15 AM

Gaussian Process Ensembles
Gregory Watson; Donatello Telesca, UCLA
11:50 AM

Efficient Solution of Large Fixed Effects Problems with Clustered Standard Errors
Thomas Balmat, Duke University; Jerry Reiter, Department of Statistical Science, Duke University
3:05 PM

Tuesday, 08/01/2017
What's in a Vector? Major Improvements on the Horizon for R and What They Mean for You
Gabriel Becker, Genentech Research; Luke Tierney, University of Iowa
8:35 AM

A First-Year Undergraduate Data Science Course
Mine Cetinkaya-Rundel, Duke University
9:15 AM

Quick and Easy Analysis of Quantitative Traits for Genome-Wide Association and Interaction Studies
Shin-Fu Tsai, National Taiwan University
10:05 AM

Wednesday, 08/02/2017
Modernizing the Undergraduate Statistics Curriculum
Nicholas J Horton, Amherst College
10:35 AM

Fast and Accurate Bayesian Model Criticism and Conflict Detection Using Integrated Nested Laplace Approximations (INLA)
Egil Ferkingstad, University of Iceland; Leonhard Held, University of Zurich; Havard Rue, KAUST
11:05 AM

Expectations and Skills for Undergraduate Students Doing Research in Statistics and Data Science
Jo Hardin, Pomona College
11:15 AM

Thursday, 08/03/2017
Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
Sudipto Banerjee, UCLA Fielding School of Public Health
9:00 AM

3D Visualization of Emulators of Climate Model Output on Smart Phones with Virtual Reality
Marc G. Genton, KAUST; Stefano Castruccio, Newcastle University
10:35 AM

Two Trends in Solutions to Computation-Intensive Methods: Laptop vs. Graphics Processing Unit (GPU)
Junshui Ma, Merck & Co., Inc.; Vladimir Svetnik, Merck & Co., Inc.
10:55 AM

Local Likelihood Estimation for Nonstationary Covariance Functions with Applications to Climate Model Emulation
Yuxiao Li, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology
11:05 AM

 
 
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