The presentation file for my latest talk at ISI, titled "The Receiver Operating Characteristic Curve, Its Applications, and Extensions" is available here .
Machine Learning
Graphical Neural Networks
Active Learning : Expert/Human in the Loop
Non-Parametric Inference : U-statistics, Jackknife Empirical Likelihood approach, ROC curve, Extropy, etc
Inference under order-restricted Parameters
Generalized Pitman Nearness Criterion
Decision-Theoretic Inference Problems
Shrinkage Estimators
Biostatistics
Published/Accepted
Naresh Garg and Neeraj Misra (Arxiv)
Naresh Garg and Neeraj Misra (Arxiv)
Naresh Garg, Lakshmi Kanta Patra, and Neeraj Misra (Arxiv)
Naresh Garg and Neeraj Misra (Arxiv)
Naresh Garg and Neeraj Misra (Arxiv)
Naresh Garg and Neeraj Misra (Accepted: Ashis SenGupta Honour Volume)
Sandeep Madhwal, Sachchida Nand Tripathi, Michael H. Bergin, Prakash Bhave, Benjamin de Foy, T V Ramesh Reddy, Sandeep Kumar Chaudhry, Vaishali Jain, Naresh Garg, Paresh Lalwani
Naresh Garg and Neeraj Misra (Arxiv)
Praveen Kumar M, Naresh Garg, Anand Srinivasan, Shruti Saha, Saurabh Sharma, Bikash Medhi
(https://utilityshiny.shinyapps.io/chromatographic_calculation_interpretation_database/)
Preprint/Submitted
Jackknife Empirical Likelihood method for U Statistics based on Multivariate Samples and its Applications (2024).
Naresh Garg, Litty Mathew, Isha Dewan and Sudheesh Kumar Kattumannul (Submitted)
Estimating location parameters of two exponential distributions with ordered scale parameters (2023).
Lakshmi Kanta Patra, Constantinos Petropoulos, Shrajal Bajpai and Naresh Garg (Submitted)
Email: garg.naresh22@gmail.com, naresh.garg@aalto.fi
Address: Computer Science Department, Aalto University, Finland (02150)