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It provides students and researchers with an overview of many aspects of the field. Nancy Reid , Torben Martinussen.

Unbiasedness and consistency

On multivariate Edgeworth expansions. Saddlepoint expansions for conditional distributions. Saddlepoint expansions for directional test probabilities. A review of higher order likelihood inference.


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The Fourth Workshop on Higher-Order Asymptotics and Post-Selection Inference (WHOA-PSI)^{4}

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Inference and Asymptotics. Cox , O. Our book Asymptotic Techniquesfor Use in Statistics was originally planned as an account of asymptotic statistical theory, but by the time we had completed the mathematical preliminaries it seemed best to publish these separately.

[] Bayesian inference using synthetic likelihood: asymptotics and adjustments

The present book, although largely self-contained, takes up the original theme and gives a systematic account of some recent developments in asymptotic parametric inference from a likelihood-based perspective. Chapters are relatively elementary and provide first a review of key concepts such as likelihood, sufficiency, conditionality, ancillarity, exponential families and transformation models.


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Then first-order asymptotic theory is set out, followed by a discussion of the need for higher-order theory.