Results 101 to 110 of about 34,617 (237)

An asymptotic theory for model selection inference in general semiparametric problems. [PDF]

Recently, Hjort and Claeskens (2003) developed an asymptotic theory for model selection, model averaging and post-model selection/averaging inference using likelihood methods in parametric models, along with associated confidence statements.
Claeskens, Gerda, Carroll, RJ
core  

Diagnostic performance and feasibility of classifying placental umbilical cord insertion during routine prenatal ultrasound

Acta Obstetricia et Gynecologica Scandinavica, EarlyView.
Classification of placental umbilical cord insertion is feasible within the routine prenatal ultrasound examination, and reliably excludes abnormal insertion, although positive predictive values were low. Abstract Introduction Abnormal cord insertion (velamentous or marginal) is associated with adverse perinatal outcomes, and guidelines recommend ...
Ine Hildershavn Moen, Synnøve Lian Johnsen, Jørg Kessler, Alexander Vietheer, Svein Rasmussen, Cathrine Ebbing   +5 more
wiley   +1 more source

Bayesian estimation of adaptability and stability parameters in watermelon genotypes using the Toler model

Crop Breeding and Applied Biotechnology
The objective of this study was to evaluate the adaptability and phenotypic stability of watermelon hybrids across diverse environments in the semiarid region of Rio Grande do Norte, Brazil, using Toler’s simple linear and piecewise linear models under ...
Carla Caroline Alves Pereira, Maxsuel Marcos Fernandes de Lima, Adriano Ferreira Martins, Francismária Freitas de Lima, Nynyve Thaynar Brito de Almeida, Edicleide Macedo da Silva, Lindomar Maria da Silveira, Glauber Henrique de Sousa Nunes   +7 more
doaj  

A Frequentist Approach to Mapping under Uncertainty

, 2020
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor locations and 2) uncertain sensor locations. The frequentist methodology has
R Saha, S Chakravorty
core  

Frequentist Probability

, 2017
The primary objective of this article is to discuss a model-based frequentist interpretation that identifies the probability of an event with the limit of its relative frequency of occurrence.
Aris Spanos, Spanos, Aris
core   +1 more source

Statistical power in UK genetic syndrome research; evidence from studies of Down syndrome, Fragile X syndrome and Williams syndrome as model syndrome groups

British Journal of Developmental Psychology, EarlyView.
Abstract Research on genetic syndromes is vital to our understanding of how development unfolds, but the rarity of genetic syndromes can mean that studies are carried out with small sample sizes. Small sample sizes can reduce the statistical power of a study to produce reliable and replicable results.
Emily K. Farran, Sophia Alexiou, Henrik Danielsson, Camilla Orefice, Laura Cristescu, Elizabeth Pellicano, Jo Van Herwegen, Gaia Scerif   +7 more
wiley   +1 more source

Correcting automatically generated closed captions for online learning materials does not improve student learning outcomes (although students believe it does)

British Journal of Educational Technology, EarlyView.
Abstract Lecture capture is ubiquitous in higher education. Lecture capture recordings are typically accompanied by automatically generated closed captions that are sometimes corrected by humans. Students self‐report that they benefit from captions, and particularly human‐corrected captions.
Peter J. Allen, Polly Barr, Kristopher G. Magee, Imogen van Jaarsveldt, Andy Wakefield   +4 more
wiley   +1 more source

A balance between stability and flexibility: Adaptive patterns of self‐regulated learning processes shape game‐based learning

British Journal of Educational Technology, EarlyView.
Abstract To ensure learning efficiency in game‐based learning (GBL), learners must regulate cognitive, affective, metacognitive and motivational (CAMM) processes, collectively known as self‐regulated learning (SRL). SRL is dynamic and non‐linear, characterized by regulatory patterns and CAMM interactions that lead to macro‐level SRL behaviours. In this
Elizabeth B. Cloude, Stefan E. Huber, Jingwei Wei, Bianca Esmanhoto, Muhterem Dindar, Manuel Ninaus, Kristian Kiili   +6 more
wiley   +1 more source

Space–time interference in magnitude judgements revealed by drift‐diffusion modelling

British Journal of Psychology, EarlyView.
Abstract Space and time are strongly interrelated in human cognition: spatial extent can bias temporal judgements, whereas duration can influence perceived spatial extent. However, the mechanisms underlying these reciprocal effects remain debated. We investigated these interactions using psychophysical measures, individual difference analyses and drift‐
Pom Charras, Renato Ponce, Juan Lupiáñez, Mariagrazia Capizzi   +3 more
wiley   +1 more source

Interfaces between Bayesian and Frequentist Multiplte Testing

, 2015
This thesis investigates frequentist properties of Bayesian multiple testing procedures in a variety of scenarios and depicts the asymptotic behaviors of Bayesian methods.
CHANG, SHIH-HAN
core   +1 more source