AMS Sectional Meeting AMS Special Session

Current as of Saturday, April 18, 2020 03:30:05

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• Program
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• Deadlines
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• Timetable
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• Room Chart
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• Chronological Index of Talks
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• Registration/Housing/Etc.


• Inquiries: meet@ams.org

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Spring Western Sectional Meeting

• California State University, Fresno, Fresno, CA
• May 2-3, 2020 (Saturday - Sunday)
• Meeting #1158

Associate secretaries:

Michel L Lapidus, AMS lapidus@math.ucr.edu

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Please note room assignments are subject to change right up until the meeting occurs. The program published here is continually updated and may be more current than the printed program.

Special Session on Data Analysis and Predictive Modeling

• Saturday May 2, 2020, 8:00 a.m.-10:50 a.m.
  Special Session on Data Analysis and Predictive Modeling, I
  Room 033, Peters Business Building
  Organizers:
  Earvin Balderama, California State University, Fresno earvin@csufresno.edu
  Adriano Zambom, California State University, Northridge
  

  • 8:30 a.m.
    Mathematical Model for Market Competition in the Telecommunication Industries in Nigeria.
    Eka Oche Ogbaji*, Federal University Wukari
    A Edu, FEDERAL UNIVERSITY WUKARI
    (1158-34-13)
  • 9:00 a.m.
    Long-Term Stock Market Bayesian Modeling.
    Michael Reyes, University of Nevada in Reno
    Andrey Sarantsev*, University of Nevada in Reno
    (1158-62-20)
  • 9:30 a.m.
    Comparison of ARIMA, Artificial Neural Network (ANN), and Geometric Brownian Motion (GBM) models for stock price prediction.
    Mohammad Rafiqul Islam*, Youngstown State University
    Nguyet Nguyen, Youngstown State University
    (1158-62-334)
  • 10:00 a.m.
    All data are "documents": A scalable spectral clustering framework based on landmark points and cosine similarity.
    Guangliang Chen*, San Jose State University
    (1158-62-348)
  • 10:30 a.m.
    Adding flexibility in directional outlier detection and model-based learning.
    Cristina Tortora*, San Jose State University
    (1158-00-73)
• Saturday May 2, 2020, 3:00 p.m.-5:50 p.m.
  Special Session on Data Analysis and Predictive Modeling, II
  Room 033, Peters Business Building
  Organizers:
  Earvin Balderama, California State University, Fresno earvin@csufresno.edu
  Adriano Zambom, California State University, Northridge
  

  • 3:00 p.m.
    Sure Independence Screening in the Presence of Missing Data.
    Adriano Zanin Zambom*, California State University Northridge
    Gregory Matthews, Loyola University Chicago
    (1158-62-79)
  • 3:30 p.m.
    Optimal Control of False Discovery Exceedance.
    Pallavi Basu, Indian School of Business
    Luella Fu*, San Francisco State University
    Wenguang Sun, University of Southern California
    (1158-62-333)
  • 4:00 p.m.
    Nonparametric Estimation of the Recursive Point Process Model with Application to Mumps in Pennsylvania.
    Andrew Kaplan*, University of California, Los Angeles
    (1158-62-281)
  • 4:30 p.m.
    Data Analysis to predict the effectiveness of a clinical treatment.
    Shishen Xie*, University of Houston-Downtown
    (1158-62-107)
  • 5:00 p.m.
    Validation methods for machine learning to promote real-world applicability in medicine.
    Mark V Albert*, University of North Texas
    Riyad Bin Rafiq, University of North Texas
    François Modave, University of Florida
    Shion Guha, Marquette University
    (1158-62-355)
  • 5:30 p.m.
    Discussion

Inquiries: meet@ams.org

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