Convergence? Inferences from Theoretical Models

Inferences from genomic models in stratified populations.

Unaccounted population stratification can lead to spurious associations in genome-wide association studies (GWAS) and in this context several methods have been proposed to deal with this problem. An alternative line of research uses whole-genome random regression (WGRR) models that fit all markers simultaneously. Important objectives in WGRR studies are to estimate the proportion of variance ac...

Inferences from Cross-Sectional, Stochastic Frontier Models

Conventional approaches for inference about efficiency in parametric stochastic frontier (PSF) models are based on percentiles of the estimated distribution of the one-sided error term, conditional on the composite error. When used as prediction intervals, coverage is poor when the signal-to-noise ratio is low, but improves slowly as sample size increases. We show that prediction intervals esti...

NET-THEORETICAL L-GENERALIZED CONVERGENCE SPACES

In this paper, the denition of net-theoretical L-generalized convergencespaces is proposed. It is shown that, for L a frame, the category ofenriched L-fuzzy topological spaces can be embedded in that of L-generalizedconvergence spaces as a reective subcategory and the latter is a cartesianclosedtopological category.

Some Oceanographic Inferences from Coarse - Resolution Ocean and Climate Models

Logic, Models, and Paradoxical Inferences

People reject ‘paradoxical’ inferences, such as: Luisa didn’t play music; therefore, if Luisa played soccer, then she didn’t play music. For some theorists, they are invalid for everyday conditionals, but valid in logic. The theory of mental models implies that they are valid, but unacceptable because the conclusion refers to a possibility inconsistent with the premise. Hence, individuals shoul...