Assistant Professor
Mathematical Sciences
Computational Science
Office Building: Bell Hall Office Room: 227 Phone: (915) 747-6764 Email:sbchatla@utep.edu
Bio
No info available.
Education
Ph D in Statistics, National Tsing Hua University (2017)
Publications
A Nonlinear Correlation Measure with Applications to Gene Expression PLoS One (2022),
Yogesh Mani Tripathi, Suneel Chatla, Yuan-Chin I.Chang, Li-Shan Huang, Grace S. Shieh.
Nonparametric Inference for additive model estiamted via simplified smooth backfiring Annals of Institute of Statistical Mathematics (2022),
Suneel Chatla.
A Tree-based Semi-Varying Coefficient Model for the COM-Poisson Distribution, Journal of Computational and Graphical Statistics, 29 (4), (2020),
Suneel Chatla, Galit Shmueli.
Efficient estimation of COM–Poisson regression and a generalized additive model, Computational Statistics & Data Analysis, 12, (2018),
Suneel Chatla, Galit Shmueli.
Presentations
Inverse regression for spatially distributed functional data (2023), Volume Department of Mathematical Sciences,
Suneel Chatla.
A new kernel regression approach for L2 boosting (2022), Volume El Paso,
Suneel Chatla.
Nonparametric inference for additive models estimated via simplified smooth backfitting (2021),
Suneel Chatla.
Grants
Tree-based Bayesian methods for optimal treatment regimes
Ph D in Statistics, National Tsing Hua University (2017)
Publications
A Nonlinear Correlation Measure with Applications to Gene Expression PLoS One (2022),
Yogesh Mani Tripathi, Suneel Chatla, Yuan-Chin I.Chang, Li-Shan Huang, Grace S. Shieh.
Nonparametric Inference for additive model estiamted via simplified smooth backfiring Annals of Institute of Statistical Mathematics (2022),
Suneel Chatla.
A Tree-based Semi-Varying Coefficient Model for the COM-Poisson Distribution, Journal of Computational and Graphical Statistics, 29 (4), (2020),
Suneel Chatla, Galit Shmueli.
Efficient estimation of COM–Poisson regression and a generalized additive model, Computational Statistics & Data Analysis, 12, (2018),
Suneel Chatla, Galit Shmueli.
Presentations
Inverse regression for spatially distributed functional data (2023), Volume Department of Mathematical Sciences,
Suneel Chatla.
A new kernel regression approach for L2 boosting (2022), Volume El Paso,
Suneel Chatla.
Nonparametric inference for additive models estimated via simplified smooth backfitting (2021),
Suneel Chatla.
Tree-based Bayesian methods for optimal treatment regimes
