Statistics

Modeling individual tree growth by fusing diameter tape and increment core data

Environmetrics, 25(8), 610–620.

Multiple Testing Approaches for Removing Background Noise from Images

In Springer Proceedings in Mathematics & Statistics (pp. 95–104).

Bayesian variable selection in generalized additive partial linear models

Stat, 3(1), 363–378.

Evaluating the Hydrologic and Water Quality Performance of Infiltrating Wet Retention Ponds

World Environmental and Water Resources Congress 2014. Presented at the World Environmental and Water Resources Congress 2014.

Random Sets and Exact Confidence Regions

Sankhya A, 76(2), 288–304.

A model-free machine learning method for risk classification and survival probability prediction

Stat, 3(1), 337–350.

Opportunities at SAMSI

Presented at the Modern Math Workshop at SACNAS, Los Angeles, CA.

A Semiparametric Approach to Source Separation using Independent Component Analysis

Ghosh, S. (2014, October). Presented at the Department of Statistics, University of Georgia, Athens, GA.

Modeling Dependence in the Design of Crop Insurance Contracts: Crop Insurance and Modeling Dependence

Saarbrücken, Germany: Scholars Press.

Nonparametric Models for Longitudinal Data Subject to Shape Constraints

Presented at the Department of Statistics, Texas A& M University, College Station, Texas.

A Semiparametric Approach to Source Separation using Independent Component Analysis

Ghosh, S. (2014, April). Presented at the Department of Mathematics, University of Maryland, College Park, MD.

Semi-parametric Hierarchical Models for Longitudinal Data Subject to Shape Constraints, Conference On Frontiers of Hierarchical Modeling in Observational Studies, Complex Surveys and Big Data

Presented at the University of Maryland, College Park, MD.

A Computationally Ecient Flexible Observed Factor Model with Separate Dynamics for the Factor Volatilities and Correlation Matrix

Presented at the International Symposium on Business and Industrial Statistics: Conference of the ASA Section on Statistical Learning and Data Mining, Durham, NC.

Bayesian methods in global clinical trials: an era of synthesizing evidence

Presented at the Joint Statistical Meetings, Boston, MA.

Assessing the Effectiveness of the Pesticides and Farmworker Health Toolkit: A Curriculum for Enhancing Farmworkers’ Understanding of Pesticide Safety Concepts

Journal of Agromedicine, 19(2), 222–223.

Simulation and characterization of multi-class spatial patterns from stochastic point processes of randomness, clustering and regularity

Stochastic Environmental Research and Risk Assessment, 28(5), 1277–1306.

Segregation indices for disease clustering

Statistics in Medicine, 33(10), 1662–1684.

Comparison of relative density of two random geometric digraph families in testing spatial clustering

TEST, 23(1), 100–134.

Professor Hira Lal Koul’s Contribution to Statistics

In S. Lahiri, A. Schick, A. SenGupta, & T. Sriram (Eds.), Contemporary Developments in Statistical Theory (pp. 1–7).

Preface to the Professor Kesar Singh Memorial Issue

Statistical Methodology, 20, 1.