Results 121 to 130 of about 950,595 (308)
Modular-ML-inference/benchmark-driver: v1.0.0
Scala application posing as the client in inference ...
Piotr Sowiński
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Chapter 2 Inference for Markov Chain Epidemic Models
, 2019 In order to present an overview of the statistical problems, we first detail the statistical inference for Markov chains. Indeed, discrete time Markov chains models are interesting here because many questions that can arise for more complex models can be
Pardoux, Etienne +3 more
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Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Journal of Statistical Planning and Inference
, 2011 The Journal of Statistical Planning and Inference offers itself as a multifaceted and all-inclusive bridge between classical aspects of statistics and probability, and the emerging interdisciplinary aspects that have a potential of revolutionizing the ...
CAPITANIO, ANTONELLA
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Bayesian Inference in Dynamic Disequilibrium Models : an Application to the Polish Credit Market [PDF]
We review Bayesian inference for dynamic latent variable models using the data augmentation principle. We detail the difficulties of stimulating dynamic latent variables in a Gibbs sampler.
Luc, BAUWENS, Michel, LUBRANO
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Molecular Oncology, EarlyView.This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
Inference in two-piece location-scale models with Jeffreys priors [PDF]
, 2011 This paper addresses the use of Jeffreys priors in the context of univariate threeparameter location-scale models, where skewness is introduced by differing scale parameters either side of the location.
Rubio, Francisco J., Steel, Mark F. J.
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Paradoxical individual differences in conditional inference
, 2000 Paradoxical individual differences, where a dysfunctional trait correlates positively with some preconceived notion of the normatively correct answer, provide compelling evidence that the wrong norm has been adopted.
Jo Sellen +4 more
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Molecular Oncology, EarlyView.We established the avian chorioallantoic membrane (CAM) assay as a scalable in vivo model for studying circulating tumor cells (CTCs). Human gastrointestinal tumors spontaneously released genetically validated CTCs that were detected across multiple platforms, demonstrating that the CAM model provides an accessible tool for investigating early cancer ...
Dennis Roth +17 more
wiley +1 more source
State-Space Inference and Learning with Gaussian Processes [PDF]
, 2010 18.10.13 KB. Ok to add author version to spiral, authors hold copyright.State-space inference and learning with Gaussian processes (GPs) is an unsolved problem.
Rasmussen, Carl E +5 more
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