Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Activity Details
15 * !
Sun, 7/30/2017,
2:00 PM -
3:50 PM
CC-343
Networks, Multivariate Analysis, and Time Series — Topic Contributed Papers
Royal Statistical Society , IMS , IEEE Computer Society
Organizer(s): Jan Beran, University of Konstanz
Chair(s): Jan Beran, University of Konstanz
2:05 PM
Network Time Series Modeling
—
Marina Knight, University of York ; Matthew Nunes, Lancaster University ; Guy Nason, University of Bristol
2:25 PM
On Aggregation of Strongly Dependent Network Flows
—
Jan Beran, University of Konstanz ; Sucharita Ghosh, Swiss Federal Research Institute WSL ; Haiyan Liu, University of Leeds
2:45 PM
A Wavelet Lifting Approach to Long Memory Estimation
—
Matthew Nunes, Lancaster University ; Marina Knight, University of York ; Guy Nason, University of Bristol
3:05 PM
A Framework for the Online Monitoring and Analysis of Multi-Gigabit Network Streams
—
Stilian Stoev, University of Michigan ; Michalis Kallitsis, Merit Network ; George Michailidis, University of Florida ; Shrijita Bhattacharya, University of Michigan ; Zheng Gao, University of Michigan
3:25 PM
Semiparametric, Parametric and Possibly Sparse Models for Multivariate Long-Range Dependence
—
Vladas Pipiras, University Od North Carolina At Chaple Hill ; Stefanos Kechagias, SAS Institute ; Changryong Baek, Sungkyunkwan University
3:45 PM
Floor Discussion
141 * !
Mon, 7/31/2017,
10:30 AM -
12:20 PM
CC-342
Statistical Analysis of Cyber-Security Data — Invited Papers
Royal Statistical Society , Section on Statistics in Defense and National Security , Section on Statistical Learning and Data Science
Organizer(s): Marina Evangelou, Imperial College London
Chair(s): Niall Adams, Imperial College
10:35 AM
Big Network Modeling and Anomaly Detection for Cyber-Security Applications
—
Patrick Rubin-Delanchy, University of Oxford
11:00 AM
Adaptive Threshold Selection for Trust-Based Intrusion Detection Systems
—
Younghun Chae, University of Rhode Island ; Natallia V Katenka, University of Rhode Island ; Lisa DiPippo, University of Rhode Island
11:25 AM
Modeling Computer Network Data Using Markov Modulated Poisson Processes
—
Mark Briers, Alan Turing Institute
11:50 AM
Modelling User Behavior using Endpoint Host Data
—
Melissa Turcotte, Los Alamos National Laboratory
12:15 PM
Floor Discussion
481 * !
Wed, 8/2/2017,
10:30 AM -
12:20 PM
CC-327
Statistics: It's Essential for Climatology — Invited Papers
Section on Statistics and the Environment , Royal Statistical Society , Caucus for Women in Statistics
Organizer(s): Bo Li, University of Illinois
Chair(s): Rebecca Killick (Co-organizer), Lancaster University
10:35 AM
Forward Modeling: It's Essential for Palaeoclimatology
—
Andrew C Parnell, University College Dublin
11:00 AM
Bumpy Ride: Trends, Shifts and Memory in Climate Time-Series
—
Claudie Beaulieu, Ocean and Earth Science, University of Southampton ; Rebecca Killick, Lancaster University
11:25 AM
Discussant: Montserrat Fuentes, Virginia Commonwealth University
11:50 AM
Discussant: Michael Stein, University of Chicago
12:15 PM
Floor Discussion
502 * !
Wed, 8/2/2017,
10:30 AM -
12:20 PM
CC-318
Essential Skills for Communicating Statistics — Topic Contributed Panel
Royal Statistical Society , Section for Statistical Programmers and Analysts , Caucus for Women in Statistics , Statistics Without Borders , Conference on Statistical Practice Steering Committee
Organizer(s): Brian Tarran, Editor, Significance Magazine
Chair(s): Brian Tarran, Editor, Significance Magazine
10:35 AM
Essential Skills for Communicating Statistics
Panelists:
Neda Afsarmanesh, Sense About Science USA
Carl Bialik, Yelp
Emma Pierson, Stanford University
Liberty Vittert, University of Glasgow
Howard Wainer, Statistician and author
John Bailer, Miami University, and Stats+Stories podcast
12:10 PM
Floor Discussion
641 * !
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-309
Foundations of Network Analysis — Invited Papers
IMS , Royal Statistical Society , ENAR
Organizer(s): Walter Dempsey, University of Michigan
Chair(s): Chao Gao, University of Chicago
10:35 AM
Network Sparsity and Subsequent Inference
—
Joshua Cape, Johns Hopkins University ; Minh Tang, Johns Hopkins University ; Carey E Priebe, Johns Hopkins University
11:05 AM
Challenges in Network Sampling: Open Problems and Some Progress
—
Eric Kolaczyk, Boston University
11:35 AM
Accounting for the Sampling Scheme in Network Modeling
—
Harry Crane, Rutgers University ; Walter Dempsey, University of Michigan
12:05 PM
Floor Discussion