Results 101 to 110 of about 1,249,090 (302)

Decoding Human Placental Cellular and Molecular Responses to Obesity and Fetal Growth

open access: yesAdvanced Science, EarlyView.
Women with obesity often deliver large‐for‐gestational‐age (LGA) infants. Single‐nucleus RNA sequencing of term placenta reveals that hypoxia and TNF‐α signaling in syncytiotrophoblasts are featured in maternal obesity, but inflammatory signatures in Hofbauer cells and response to lipid or carbohydrate metabolism in fibroblasts are specific to LGA.
Hong Jiang   +12 more
wiley   +1 more source

Sparse Stochastic Inference for Latent Dirichlet allocation

open access: yes, 2012
We present a hybrid algorithm for Bayesian topic models that combines the efficiency of sparse Gibbs sampling with the scalability of online stochastic inference.
Blei, David, Hoffman, Matt, Mimno, David
core   +2 more sources

Transient Antiskyrmion‐Mediated Topological Transitions in Isotropic Magnets

open access: yesAdvanced Science, EarlyView.
A transient antiskyrmion‐mediated pathway that drives repeated stripe‐to‐skyrmion transitions is revealed, producing a net increase in topological charge in isotropic Dzyaloshinskii–Moriya interaction films. Experiments and simulations identify the antiskyrmion as a metastable excitation, enabling stochastic bitstream generation for probabilistic ...
Bingqian Dai   +18 more
wiley   +1 more source

A Bayesian Reflection on Surfaces

open access: yes, 1998
The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informative inference of continuous-basis fields, that is where the basis for the ...
RG Brown, S Geman
core   +4 more sources

Population‐Based Multi‐Omics and Cohort Study Identifying Predictive Biomarkers and Therapeutic Targets for Psoriatic Disease

open access: yesAdvanced Science, EarlyView.
Psoriatic disease (PsD) is a chronic skin disease, with challenges in early risk stratification and drug development. Through gene‐level causal inference framework and expression level validation, combined with longitudinal cohort study, CDSN and PRSS8 have been identified as candidate biomarkers and therapeutic targets for PsD.
Tianxing Wu   +13 more
wiley   +1 more source

Bayesian Inference for Mixed Model-Based Genome-Wide Analysis of Expression Quantitative Trait Loci by Gibbs Sampling

open access: yesFrontiers in Genetics, 2019
The importance of expression quantitative trait locus (eQTL) has been emphasized in understanding the genetic basis of cellular activities and complex phenotypes. Mixed models can be employed to effectively identify eQTLs by explaining polygenic effects.
Chaeyoung Lee
doaj   +1 more source

Bayesian Nonparametric Hidden Semi-Markov Models

open access: yes, 2012
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data.
Johnson, Matthew J., Willsky, Alan S.
core  

Determination of the Exchange Current Density at Lithium │ Polymer Electrolyte Interfaces

open access: yesAdvanced Science, EarlyView.
This work presents a comprehensively validated method to determine the exchange current density (j0) at the interface of lithium metal and polymer electrolytes by combining electrochemical impedance spectroscopy with Bayesian inference and distribution of relaxation times analyses to successfully deconvolute solid electrolyte interphase and charge ...
Katrin Geng   +4 more
wiley   +1 more source

Bayesian Inference [PDF]

open access: yes, 1966
Bayes' original paper "Essay Towards Solving a Problem in the Doctrine of Change" was published in Philosophical Transactions of the Royal Society, 1763. Over 200 years, Bayes' Concepts have survived numerous critical onslaughts. Even though Bayesian Inference is still regarded as being somewhat unorthodox, it is becoming more generally accepted each ...
openaire   +2 more sources

Variational Bayesian inference for linear and logistic regression

open access: yes, 2019
The article describe the model, derivation, and implementation of variational Bayesian inference for linear and logistic regression, both with and without automatic relevance determination.
Drugowitsch, Jan
core  

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