Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies ↑の最後に、Rのプログラムがある。 2009年の時点ですでにRとはかなり先取りな感じですね・・。 ぐぐったら、ハバ大のコロ助さんも出てきた 機械学習をつかったセミパラメトリック推定 ...

Abstract: Independence of the normalized likelihood functions (likelihood ratios, LR) with the argument being the true Toeplitz covariance matrix creates a statistical lower bound for the optimized ...

Haplotype frequency estimation in population data is an important problem in genetics and different methods including expectation maximisation (EM) methods have been proposed. The statistical ...

"Parameter Inference" is one of the most important concepts of predictive machine learning. In this lesson, you will begin to build an intuition surrounding the ideas around this concept. You'll first ...