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5 papers · 2 filters
Estimating the Optimal Linear Combination of Biomarkers using Spherically Constrained Optimization
Priyam Das, Debsurya De, Raju Maiti +5
In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing an empirical estimate of the area under th…
Bayesian Neural Tree Models for Nonparametric Regression
Tanujit Chakraborty, Gauri Kamat, Ashis Kumar Chakraborty
Frequentist and Bayesian methods differ in many aspects, but share some basic optimal properties. In real-life classification and regression problems, situations exist in which a m…
A distribution-free smoothed combination method of biomarkers to improve diagnostic accuracy in multi-category classification
Raju Maiti, Jialiang Li, Priyam Das +3
Results from multiple diagnostic tests are usually combined to improve the overall diagnostic accuracy. For binary classification, maximization of the empirical estimate of the are…
A new integrated likelihood for estimating population size in dependent dual-record system
Kiranmoy Chatterjee, Diganta Mukherjee
Efficient estimation of population size from dependent dual-record system (DRS) remains a statistical challenge in capture-recapture type experiment. Owing to the nonidentifiabilit…
On the Estimation of Population Size from a Dependent Triple Record System
Kiranmoy Chatterjee, Prajamitra Bhuyan
Population size estimation based on capture-recapture experiment under triple record system is an interesting problem in various fields including epidemiology, population studies,…