

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
Publications
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 NonUniversality of the DustAttenuation Law at High Redshift. The Astrophysical Journal, 2016.
S. He, W. Yuan, J.Z. Huang, J.P. Long, L.M. Macri. Period Estimation for Sparselysampled Quasiperiodic 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 Interband 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, Machinelearned Resource Allocation: Application to Highredshift GammaRay Burst Followup. 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.
Teaching
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 778433143 USA

Last updated:
April 1, 2017

