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Eeboost: A general method for prediction and variable selection based on estimating equations
Julian Wolfson
Biostatistics
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Scopus citations
Overview
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Dive into the research topics of 'Eeboost: A general method for prediction and variable selection based on estimating equations'. Together they form a unique fingerprint.
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Mathematics
Estimating Equation
62%
Variable Selection
56%
Prediction
44%
Underdispersion
16%
Boosting
14%
Missing Covariates
14%
Gradient Descent
13%
Constrained Optimization
12%
Standards
12%
Likelihood Ratio
11%
Optimization Algorithm
11%
Resistance
11%
Mutation
10%
Flexibility
10%
Software
9%
High-dimensional
8%
Regression
8%
Strategy
7%
Path
7%
Model
3%
Class
3%
Business & Economics
Variable Selection
100%
Prediction
45%
Likelihood Ratio
17%
Constrained Optimization
14%
Data Generating Process
13%
Medication
13%
Mutation
12%
Gradient
12%
Boosting
11%
Covariates
11%
Inference
9%
Software
7%