Inference on Multiple Change Points in High Dimensional Linear Regression Models (2024), with Hongjin Zhang. Econometrics and Statistics.
Adaptive Parametric Change Point Inference Under Covariance Structure Changes (2023+), with Stergios B. Fotopoulos, Vasileios Pavlopoulos, and Venkata K. Jandhyala. Statistical Papers.
Inference for Change Points in High Dimensional Mean Shift Models (2023+), with George Michailidis. Statistica Sinica
Software: Available upon request (built in R)
Inference on the change point under a high dimensional covariance shift (2023), with Hongjin Zhang, Konstantinos Tsampourakis, and George Michailidis. Journal of Machine Learning Research
Software: Available upon request (built in R)
Inference on the change point under a high dimensional sparse mean shift (2021), with Stergios B. Fotopoulos, Venkata K. Jandhyala and Abolfazl Safikhani. Electronic Journal of Statistics.
Software: Available upon request (built in R)
An efficient two step algorithm for high dimensional change point regression models without grid search, (2019), with Venkata K. Jandhyala and Stergios B. Fotopoulos. Journal of Machine Learning Research.
Multiple Change Point Models for Time Series (2019), with I.B. Macneill,Venkata K. Jandhyala and Stergios B. Fotopoulos. Environmetrics.
Household composition and the infant fecal microbiome: The INSPIRE study (2019), with several others. Americal Journal of Physical Anthropology.
Structural Zeros in High Dimensional Data with Applications to Microbiome Studies, (2017), with Ori Davidov and Shyamal Peddada. Biostatistics.
Analysis of Microbiome Data in the Presence of Excess Zeros, (2017), with Siddhartha Mandal, Ori Davidov and Shyamal Peddada. Frontiers in Microbiology.
Weighted L1-Penalized Corrected Quantile Regression for High Dimensional Measurement Error Models, (2015), with Hira L. Koul. Journal of Multivariate Analysis.
Lasso with Long Memory Regression Errors, (2014). Journal of Statistical Planning and Inference.
Segmentation of high dimensional means over multi-dimensional change points and connections to regression trees (2021). (pdf )
Software: Available upon request (built in R)
Detection and estimation of parameters in high dimensional multiple change point regression models via L1/L0 regularization and discrete optimization, (2019), with Venkata K. Jandhyala and Stergios B. Fotopoulos. (pdf)
Software: Available upon request (built in R)
Pivotal Estimation via Self-Normalization for High Dimensional Linear Models with Errors-in-Variables, (2017) with Alexandre Belloni, Mathieu Rosenbaum. (pdf)
Software: Available upon request (built in R)
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-Variables (2017), with Alexandre Belloni, Victor Chernozhukov. (pdf)
Software: Available upon request (built in R)