Likelihood estimation lies at the heart of statistical inference, providing a principled framework to fit models to data by maximising the probability of observed outcomes. Classical approaches such ...
Likelihood geometry examines the algebraic and geometric structure underlying maximum likelihood estimation on statistical models defined by polynomial equations. Central to this field is the maximum ...
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