Results 51 to 60 of about 6,110,460 (312)
Revstat Statistical Journal, 2007 In this paper we study bias-corrections to the weighted MLE (Dupuis and Morgenthaler, 2002), a robust estimator simply defined through a weighted score function.
Maria-Pia Victoria-Feser
doaj +1 more source
Modeling Latent Variable Uncertainty for Loss-based Learning [PDF]
, 2012 We consider the problem of parameter estimation using weakly supervised datasets, where a training sample consists of the input and a partially specified annotation, which we refer to as the output.
Koller, Daphne +2 more
core +4 more sources
Strength through diversity: how cancers thrive when clones cooperate
Molecular Oncology, EarlyView.Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken +3 more
wiley +1 more source
Energies, 2019 This research aims to predict the efficiency of the Sustainable Development Policy for Energy Consumption under Environmental Law in Thailand for the next 17 years (2020−2036) and analyze the relationships among causal factors by applying a ...
Pruethsan Sutthichaimethee +1 more
doaj +1 more source
Factorisation-Based Image Labelling
Frontiers in Neuroscience, 2022 Segmentation of brain magnetic resonance images (MRI) into anatomical regions is a useful task in neuroimaging. Manual annotation is time consuming and expensive, so having a fully automated and general purpose brain segmentation algorithm is highly ...
Yu Yan +6 more
doaj +1 more source
Bayesian comparison of latent variable models: Conditional vs marginal likelihoods
, 2019 Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters.
Furr, D. +2 more
core +1 more source
Mode Choice Model for Public Transport with Categorized Latent Variables
, 2017 Mode choice model for public transport, which integrates structural equation model (SEM) and discrete choice model (DCM) with categorized latent variables, was presented in this paper.
Jian Chen, S. Li
semanticscholar +1 more source
Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib
Molecular Oncology, EarlyView.WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute +17 more
wiley +1 more source
Multilevel (ML-ICLV) & Single Level Integrated Discrete Choice and Latent Variable (ICLV) Models Using Alternative Latent Structures' Conceptualizations [PDF]
, 2013 The aim of the present endeavor is to experiment on integrating discrete choice with latent variable (ICVL) models using alternative factorial structures’ conceptualizations and do so at both Single Level (Level 0) and Multilevel (ML-ICVL).
Chrysochoidis, Georgios, Wilson, Charlie
core
Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source