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Targeted Maximum Likelihood Estimation using Exponential Families
Iván Diáz,
Michael Rosenblum
Bloomberg School of Public Health
Research output
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Contribution to journal
›
Article
›
peer-review
3
Scopus citations
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Dive into the research topics of 'Targeted Maximum Likelihood Estimation using Exponential Families'. Together they form a unique fingerprint.
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Business & Economics
Maximum Likelihood Estimation
100%
Exponential Family
84%
Nonparametric Model
23%
Regression Model
14%
Convex Optimization
12%
Semiparametric Model
12%
Causal Inference
11%
Parametric Model
10%
Causal Effect
9%
Median
8%
Simulation Study
8%
Optimization Problem
8%
Estimator
7%
Software
5%
Mathematics
Exponential Family
58%
Maximum Likelihood Estimation
50%
Covariates
30%
Nonparametric Model
20%
Regression Model
14%
Median Regression
13%
Causal Inference
12%
Causal Effect
11%
Missing at Random
11%
Semiparametric Model
10%
Standard Model
10%
Parametric Model
9%
Convex Optimization
9%
Software
8%
Optimization Problem
6%
Simulation Study
6%
Iteration
5%
Estimator
5%