Results 61 to 70 of about 2,481,944 (297)
Bayesian designs for hierarchical linear models [PDF]
Statistica Sinica, 2009 Summary: Two Bayesian optimal design criteria for hierarchical linear models are discussed: the \(\psi_\beta\) criterion for the estimation of individual-level parameters \(\beta\), and the \(\psi_\theta\) criterion for the estimation of hyperparameters \(\mathbf \theta\).
Liu, Qing +2 more
openaire +3 more sources
Dynamically rescaled Hamiltonian Monte Carlo for Bayesian Hierarchical Models
, 2018 Dynamically rescaled Hamiltonian Monte Carlo (DRHMC) is introduced as a computationally fast and easily implemented method for performing full Bayesian analysis in hierarchical statistical models.
Kleppe, Tore Selland
core +1 more source
Effect of chemotherapy on passenger mutations in metastatic colorectal cancer
Molecular Oncology, EarlyView.Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui +6 more
wiley +1 more source
ComputationConsumer product usability has been addressed using tools that evaluate objects to improve user interaction. However, such diversity in approach makes it challenging to select a method for the type of product being assessed.
Mayra Ivette Peña-Ontiveros +5 more
doaj +1 more source
Gravitational Clustering from Chi^2 Initial Conditions
, 2001 We consider gravitational clustering from primoridal non-Gaussian fluctuations provided by a $\chi^2$ model, as motivated by some models of inflation.
Bouchet F. R. +11 more
core +1 more source
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
Hierarchical linear models in education sciences: an application [PDF]
, 2009 The importance of hierarchical structured data analysis, based on appropriate statistical models, is very well known in several research areas.
Oliveira, Teresa, Valente, Vítor
core
Molecular Oncology, EarlyView.The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola +12 more
wiley +1 more source
Large Scale Variational Bayesian Inference for Structured Scale Mixture Models [PDF]
, 2012 Natural image statistics exhibit hierarchical dependencies across multiple scales. Representing such prior knowledge in non-factorial latent tree models can boost performance of image denoising, inpainting, deconvolution or reconstruction substantially ...
Ko, Young Jun, Seeger, Matthias
core +2 more sources
Generating 3D faces using Convolutional Mesh Autoencoders
, 2018 Learned 3D representations of human faces are useful for computer vision problems such as 3D face tracking and reconstruction from images, as well as graphics applications such as character generation and animation.
Black, Michael J. +3 more
core +1 more source