Applied Statistics and Data Science

​Dr. Yogendra P. Chaubey is a Professor of Mathematics and Statistics at Concordia University. His research focus is in statistical methodology, mostly concentrated in the area of nonparametric smoothing.Dr. Fassil Nebebe is a Professor of Supply Chain and Business Technology Management at Concordia University. His research focuses on statistical methodology using resampling techniques, SEM, and predictive analytics.Dr. Arusharka Sen is an Associate Professor of Mathematics and Statistics at Concordia University. His research focuses on nonparametric function estimation and the analysis of censored data.Dr. Salim Lahmiri is an Assistant Professor of Supply Chain and Business Technology Management at Concordia University. He serves as associate editor for Expert Systems with Applications; Machine Learning with Applications; Chaos, Solitons & Fractals; Entropy; and Machine Learning & Knowledge Extraction. Dr. Lahmiri's research focuses on artificial intelligence, intelligent systems, data science, predictive analytics, and pattern recognition.

• 1. Minimum Profile Hellinger Distance Estimation for Semiparametric Simple Linear Regression Model.- 2. A Spatiotemporal Investigation of the Cod Stock in the Northern Gulf of St-Lawrence.- 3. Modeling Obesity Rate with Spatial Auto-correlation: A Case Study.- 4. Bayesian Inference for Inverse Gaussian Data with Emphasis on the Coefficient of Variation.- 5. Estimation and Testing of a Common Coefficient of Variation from Inverse Gaussian Distributions.- 6. A Markov Model of Polygenic Inheritance.- 7. Bayes Linear Emulation of Simulated Crop Yield.