Although epistasis is an important phenomenon in the genetics and evolution of complex traits, epistatic effects are hard to estimate. The main problem is due to the overparameterized epistatic ...
We study the maximum smoothed likelihood estimator (MSLE) for interval censoring, case 2, in the so-called separated case. Characterizations in terms of convex duality conditions are given and strong ...
We explore maximum likelihood (ML) estimation of the Hildreth—Houck random coefficients model. We show that the global ML estimator can be inconsistent. We develop an alternative LML (local ML) ...
In a recent study posted to the bioRxiv* pre-print server, researchers developed a maximum likelihood (ML) model to capture severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolutionary ...
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