Empirical likelihood methods have emerged as a robust, non‐parametric framework for statistical inference that skilfully bypasses the need for strong parametric assumptions. By constructing likelihood ...
Recognized as a leading journal in its field, the Scandinavian Journal of Statistics is an international publication devoted to reporting significant and innovative original contributions to ...
The need to combine likelihood information is common in analyses of complex models and in meta-analyses, where information is combined from several studies. We work to first order, and show that full ...
Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...
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