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Model misspecification in microbiome studies
2022The relative abundances of bacterial species in a microbiome are an important parameter to estimate given the critical role that microbiomes play in human and environmental health. We show that high-throughput sequencing distorts the true composition of microbial communities, and propose a statistical model that reflects this observation. Our model can
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Misspecification in dynamic models
2013Within the class of ARMAX models we consider the effects that omitted explanatory processes have on the dynamic shape and the exogeneity properties of economic relations. We show that, under suitable assumptions, a well defined "misspecified" ARMAX model exists and is unique.
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Misspecification in Spatial Interaction Models: Further Results [PDF]
Commonly used models for data on flows between sets of origins and destinations may often be misspecified because of a failure to account for the influence of spatial structure and other factors that affect flows. General expressions for the bias in parameter estimates that arises from such misspecification are derived for the most usual methods of ...
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Spatial Autocorrelation Or Model Misspecification?
International Regional Science Review, 2003A Monte Carlo experiment illustrates one of the pitfalls of spatial modeling. Specification tests indicate spatial autocorrelation when functional form misspecification is actually the only problem with the model. Incorrect functional forms and omitted variables that are correlated over space produce spurious spatial autocorrelation.
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Misspecifications in modelling journeys to work [PDF]
In this paper we perform a simulation procedure of testing models for journeys to work. The testing regime is carried out on a number of such models, mainly within the class of gravity models. We test the models on synthetic populations constructed from an aggregated set of a large number of worker subcategories, reflecting for instance different ...
Jens Petter Gitlesen +2 more
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Causal misspecifications in econometric models [PDF]
We bridge together the graph-theoretic and the econometric approach for defining causality in statistical models to consider model misspecification problems. By presenting a solution to disagreements between the existing frameworks, we build a causal framework that allows us to express causal implications of econometric model specifications.
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Parameter Bounds on Estimation Accuracy Under Model Misspecification
IEEE Transactions on Signal Processing, 2015Christ D Richmond
exaly
Model Misspecification in Approximate Bayesian Computation: Consequences and Diagnostics
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2020Judith N Rousseau
exaly

