[학술논문]Permutation P-values should never be zero: calculating exact P-values when permutations are rand

Permutation tests are amongst the most commonly used statistical tools in modern genomic research, a process by which p-values are att...

[학술논문]Presence‐only modelling using MAXENT: when can we trust the inferences?

Summary Recently, interest in species distribution modelling has increased following the development of new methods for the analysis o...

[학술논문]When consumers love their brands: Exploring the concept and its dimensions

Abstract Consumers may develop feelings of love toward some brands, but the meaning and underlying dimensions of this construct r...

[학술논문]Improving occupancy estimation when two types of observational error occur: non‐detection and

Efforts to draw inferences about species occurrence frequently account for false negatives, the common situation when individuals of a...

[학술논문]When impulses take over: Moderated predictive validity of explicit and implicit attitude measure

Recent theories in social psychology suggest that explicitly measured attitudes are particularly valuable for the prediction of delibe...

[학술논문]When ER stress reaches a dead end

Endoplasmic reticulum (ER) stress is a common feature of several physiological and pathological conditions affecting the function of t...

[학술논문]When Do Covariates Matter? And Which Ones, and How Much?

Authors often add covariates to a base model sequentially either to test a particular coefficient’s “robustness” or to account f...

[학술논문]When experiments travel: clinical trials and the global search for human subjects

Sociology, Public relations, Public health, Politics, Outsourcing, Offshoring, Harm, Cultural diversity, Coercion, Clinical trial ...

[학술논문]Genomic prediction when some animals are not genotyped

Abstract Background The use of genomic selection in breeding programs may increase the rate of genetic improvement, reduce the generat...

[학술논문]Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review

The paper reviews and extends an emerging body of theoretical results on deep learning including the conditions under which it can be ...