James Long
Assistant Professor of Statistics
Texas A&M University, College Station

email: jlong + the at symbol + stat.tamu.edu
office: 406D Blocker

Research Interests

Astrostatistics, functional data, measurement error, classification/prediction, misspecified and approximate models
  • J.P. Long. A Note on Parameter Estimation for Misspecified Regression Models with Heteroskedastic Errors. Electronic Journal of Statistics, 2017.
  • W. Yuan, S. He, L. M. Macri, J.P. Long, J. Z. Huang The M33 Synoptic Stellar Survey. II. Mira Variables. The Astrophysical Journal, 2017.
  • B. Salmon, C. Papovich, J.P. Long, et al. Breaking the Curve with CANDELS: A Bayesian Approach to Reveal the Non-Universality of the Dust-Attenuation Law at High Redshift. The Astrophysical Journal, 2016.
  • S. He, W. Yuan, J.Z. Huang, J.P. Long, L.M. Macri. Period Estimation for Sparsely-sampled Quasi-periodic Functions Applied to Miras. The Astrophysical Journal, 2016.
  • J.P. Long, E. Chi, R. Baraniuk. Estimating a Common Period for a Set of Irregularly Sampled Functions with Applications to Periodic Variable Star Data. Annals of Applied Statistics, 2016.
  • J.P. Long, N. El Karoui, J.A. Rice. Kernel Density Estimation with Berkson Error. The Canadian Journal of Statistics, 2016.
  • N. Mondrik, J.P. Long, J. Marshall. A Multiband Generalization of the Analysis of Variance Period Estimation Algorithm and the Effect of Inter-band Observing Cadence on Period Recovery Rate. Astrophysical Journal Letters, 2015.
  • J.P. Long, N. El Karoui, J.A. Rice, J.W. Richards, J. Bloom. Optimizing Automated Classification of Variable Stars in New Synoptic Surveys. Publications of the the Astronomy Society of the Pacific, 2012.
  • A.N. Morgan, J.P. Long, J.W. Richards, T. Broderick, N.R. Butler, J.S. Bloom. Rapid, Machine-learned Resource Allocation: Application to High-redshift Gamma-Ray Burst Follow-up. The Astrophysical Journal, 2012.
  • J.P. Long , J.S. Bloom, N. El Karoui, J. Rice, and J.W. Richards. Classification of poorly time sampled light curves of periodic variable stars. Astrostatistics and Data Mining. Springer Series in Astrostatistics, 2012.
  • J.W. Richards, D.L. Starr, H. Brink, A.A. Miller, J.S. Bloom, N.R. Butler, J.B. James, J.P. Long, and J. Rice. Active learning to overcome sample selection bias: Application to photometric variable star classification. The Astrophysical Journal, 2011.

  • Astrostatistics: Astrostatistics course taught Fall 2016 at SAMSI.
  • Statistics 689 - Astrostatistics: Astrostatistics course taught Fall 2015 at TAMU.
    Contact Information

    Email: jlong + the at symbol + stat.tamu.edu
    Address: Department of Statistics
    447 Blocker Building
    Texas A&M University
    College Station, TX 77843-3143 USA

    Last updated: April 1, 2017