Abstract: In this paper maximum likelihood sequence estimation (MLSE) is applied to unknown, frequency selective, fast time-varying channels. Assuming a first order Gauss-Markov probabilistic model ...

Abstract: The optimality of the conventional maximum-likelihood sequence estimation (MLSE), also known as the Viterbi Algorithm (VA), relies on the assumption that the receiver has perfect knowledge ...

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 ...

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

Nonparametric identification and maximum likelihood estimation for finite-state hidden Markov models are investigated. We obtain identification of the parameters as well as the order of the Markov ...

Relatedness between individuals is central to ecological genetics. Multiple methods are available to quantify relatedness from molecular data, including method-of-moment and maximum-likelihood ...

The layer capacity of a Blu-ray disc could grow from the current size of 25GB to 33.4GB following the creation of technologies by Sony and Panasonic. This technology - dubbed the i-MLSE (Maximum ...