Results 141 to 150 of about 7,662,414 (297)
Estimating Ganglion Cell Complex Rates of Change With Bayesian Hierarchical Models. [PDF]
Transl Vis Sci Technol, 2021 Mohammadzadeh V +7 more
europepmc +1 more source
On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths [PDF]
An exciting development in modeling has been the ability to estimate reliable individual-level parameters for choice models. Individual partworths derived from these parameters have been very useful in segmentation, identifying extreme individuals, and ...
Joel Huber, Kenneth Train
core
Advanced Science, EarlyView.This review summarizes recent advances in the mechanistic, thermodynamic, and kinetic studies of biomass‐derived levulinic acid/levulinates conversion to γ‐valerolactone, along with the corresponding multiscale regulation strategies of Ru‐based catalysts.
Xin Ni +3 more
wiley +1 more source
From Artificial to Embodied and Physical Intelligence in Smart Manufacturing
Advanced Science, EarlyView.Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang +9 more
wiley +1 more source
Empirical Bayesian Analysis Through the Lens of a Particular Class of Constrained Bayesian Hierarchical Models. [PDF]
Stat, 2021 Bradley JR, Zong Q.
europepmc +1 more source
Asymptotics for a Bayesian nonparametric estimator of species richness [PDF]
In Bayesian nonparametric inference, random discrete probability measures are commonly used as priors within hierarchical mixture models for density estimation and for inference on the clustering of the data. Recently it has been shown that they can also
Stefano Favaro +2 more
core
An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization
Advanced Science, EarlyView.An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang +9 more
wiley +1 more source
Bayesian hierarchical models for high-dimensional mediation analysis with coordinated selection of correlated mediators. [PDF]
Stat Med, 2021 Song Y +11 more
europepmc +1 more source
Bayesian Functional Data Analysis Using WinBUGS [PDF]
We provide user friendly software for Bayesian analysis of functional data models using \pkg{WinBUGS}~1.4. The excellent properties of Bayesian analysis in this context are due to: (1) dimensionality reduction, which leads to low dimensional projection ...
Ciprian M. Crainiceanu +1 more
core
Advanced Science, EarlyView.Subcellular spatial transcriptomics enables high‐resolution mapping of gene expression within tissues, but accurate cell segmentation is essential for assigning transcripts to individual cells. We present SpaCut, a deep learning framework that integrates transcriptomic features with nucleus‐guided morphological information to precisely delineate cell ...
Yongheng Li, Fangfang Zhu, Wenwen Min
wiley +1 more source