From cacti to carnivores: Improved phylotranscriptomic sampling and hierarchical homology inference provide further insight into the evolution of Caryophyllales.
Sign Up to like & getrecommendations! Published in 2018 at "American journal of botany"
DOI: 10.1002/ajb2.1069
Abstract: PREMISE OF THE STUDY The Caryophyllales contain ~12,500 species and are known for their cosmopolitan distribution, convergence of trait evolution, and extreme adaptations. Some relationships within the Caryophyllales, like those of many large plant clades,… read more here.
Keywords: tree inference; evolution; gene tree; species tree ... See more keywords
Strategies of readers with autism when responding to inferential questions: An eye‐movement study
Sign Up to like & getrecommendations! Published in 2017 at "Autism Research"
DOI: 10.1002/aur.1731
Abstract: Previous research suggests that individuals with autism spectrum disorder (ASD) have difficulties with inference generation in reading tasks. However, most previous studies have examined how well children understand a text after reading or have measured… read more here.
Keywords: control group; autism; group; study ... See more keywords
Comparison of a non‐stationary voxelation‐corrected cluster‐size test with TFCE for group‐Level MRI inference
Sign Up to like & getrecommendations! Published in 2017 at "Human Brain Mapping"
DOI: 10.1002/hbm.23453
Abstract: Two powerful methods for statistical inference on MRI brain images have been proposed recently, a non‐stationary voxelation‐corrected cluster‐size test (CST) based on random field theory and threshold‐free cluster enhancement (TFCE) based on calculating the level… read more here.
Keywords: group level; voxelation corrected; level; non stationary ... See more keywords
Physical inference of falling objects involves simulation of occluded trajectories in early visual areas.
Sign Up to like & getrecommendations! Published in 2023 at "Human brain mapping"
DOI: 10.1002/hbm.26338
Abstract: Humans possess an intuitive understanding of the environment's physical properties and dynamics, which allows them to predict the outcomes of physical scenarios and successfully interact with the physical world. This predictive ability is thought to… read more here.
Keywords: inference task; visual areas; early visual; physical inference ... See more keywords
Task‐aware swapping for efficient DNN inference on DRAM‐constrained edge systems
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22933
Abstract: Object detection at the edge side is a common task in various environments. The deployment of convolutional neural networks in intelligent edge systems is very challenging because of the highly constrained main‐memory space. This study… read more here.
Keywords: systems task; edge systems; task; task aware ... See more keywords
A comparison of gantry‐mounted x‐ray‐based real‐time target tracking methods
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.12765
Abstract: PURPOSE Most modern radiotherapy machines are built with a 2D kV imaging system. Combining this imaging system with a 2D-3D inference method would allow for a ready-made option for real-time 3D tumor tracking. This work… read more here.
Keywords: motion; pdf; method; interdimensional correlation ... See more keywords
Bayesian inference with subset simulation in varying dimensions applied to the Karhunen–Loève expansion
Sign Up to like & getrecommendations! Published in 2021 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.6758
Abstract: Correspondence *Corresponding author. Email: [email protected] Summary Uncertainties associated with spatially varying parameters are modeled through random fields discretized into a finite number of random variables. Standard discretization methods, such as the Karhunen–Loève expansion, use series… read more here.
Keywords: bayesian inference; karhunen expansion; subset simulation; inference ... See more keywords
Commentary on Randomization: The forgotten component of the randomized clinical trial
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in Medicine"
DOI: 10.1002/sim.7933
Abstract: “We are what we eat.” Raised on a soup of Kempthorne's Chapter 7 (which laid out the basis for inference from randomized clinical trials (RCTs)), Cochran's eminent practicality (don't let arcane theory prevent you from… read more here.
Keywords: randomization; trial; inference; randomized clinical ... See more keywords
Ancillarity contra Randomization as a basis for inference
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in Medicine"
DOI: 10.1002/sim.7965
Abstract: The first of these two features, feature (i), is rich with an important set of familiar statistical consequences. For one, consider experiments involving a psycho-physical effect that may be a voluntary response by the experimental… read more here.
Keywords: milk; feature; allocation; randomization ... See more keywords
Estimation and inference for multikink expectile regression with longitudinal data
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DOI: 10.1002/sim.9277
Abstract: In this article, we investigate parameter estimation, kink points testing and statistical inference for a longitudinal multikink expectile regression model. The estimators for the kink locations and regression coefficients are obtained by using a bootstrap… read more here.
Keywords: expectile regression; inference; estimation; multikink expectile ... See more keywords
Bayesian inference for asymptomatic COVID‐19 infection rates
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9408
Abstract: To strengthen inferences meta‐analyses are commonly used to summarize information from a set of independent studies. In some cases, though, the data may not satisfy the assumptions underlying the meta‐analysis. Using three Bayesian methods that… read more here.
Keywords: infection; covid; bayesian inference; inference asymptomatic ... See more keywords