Search Results for author: Hemant Ishwaran

Found 5 papers, 1 papers with code

Boosted nonparametric hazards with time-dependent covariates

no code implementations27 Jan 2017 Donald K. K. Lee, Ningyuan Chen, Hemant Ishwaran

Given functional data from a survival process with time-dependent covariates, we derive a smooth convex representation for its nonparametric log-likelihood functional and obtain its functional gradient.

Random Forest Missing Data Algorithms

no code implementations19 Jan 2017 Fei Tang, Hemant Ishwaran

Using a large, diverse collection of data sets, performance of various RF algorithms was assessed under different missing data mechanisms.

Imputation

Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods

no code implementations19 Jan 2017 Min Lu, Saad Sadiq, Daniel J. Feaster, Hemant Ishwaran

We find accurate estimation of individual treatment effects is possible even in complex heterogeneous settings but that the type of RF approach plays an important role in accuracy.

Selection bias

A Machine Learning Alternative to P-values

no code implementations18 Jan 2017 Min Lu, Hemant Ishwaran

By a simple modification to the bootstrap data involving "noising up" a variable, the OOB method yields a variable importance (VIMP) index, which directly measures how much a specific variable contributes to the prediction precision of a model.

Spike and slab variable selection: Frequentist and Bayesian strategies

1 code implementation30 May 2005 Hemant Ishwaran, J. Sunil Rao

In this paper we introduce a variable selection method referred to as a rescaled spike and slab model.

Statistics Theory Statistics Theory 62J07 (Primary) 62J05. (Secondary)

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