Results 81 to 90 of about 1,930,208 (286)

Optimal designs for nonlinear regression models with respect to non-informative priors

open access: yes, 2013
In nonlinear regression models the Fisher information depends on the parameters of the model. Consequently, optimal designs maximizing some functional of the information matrix cannot be implemented directly but require some preliminary knowledge about ...
Burghaus, Ina, Dette, Holger
core  

Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors [PDF]

open access: yes, 2013
In stochastic bandit problems, a Bayesian policy called Thompson sampling (TS) has recently attracted much attention for its excellent empirical performance.
Akimichi Takemura   +3 more
core   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

open access: yesMolecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova   +14 more
wiley   +1 more source

A few remarks on the interpretation of European company law

open access: yesPrzegląd Prawniczy Uniwersytetu im. Adama Mickiewicza, 2016
The application of European company law by domestic courts entails prior interpretation of EU legislation. Firstly, the manner of interpretation of European company law is affected by both the specific nature of European company law and l’acquis ...
Jacek Napierała
doaj   +1 more source

An Empirical-Bayes Score for Discrete Bayesian Networks

open access: yes, 2016
Bayesian network structure learning is often performed in a Bayesian setting, by evaluating candidate structures using their posterior probabilities for a given data set.
Scutari, Marco
core  

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

open access: yesMolecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera   +11 more
wiley   +1 more source

Super-polylogarithmic hypergraph coloring hardness via low-degree long codes

open access: yes, 2013
We prove improved inapproximability results for hypergraph coloring using the low-degree polynomial code (aka, the 'short code' of Barak et. al. [FOCS 2012]) and the techniques proposed by Dinur and Guruswami [FOCS 2013] to incorporate this code for ...
Guruswami, Venkatesan   +4 more
core   +1 more source

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

open access: yesMolecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena   +15 more
wiley   +1 more source

Measure Attractors of Stochastic Fractional Lattice Systems

open access: yesFractal and Fractional
This paper seeks to establish the measure attractors in stochastic fractional lattice systems. First, the presence of these attractor measures is proven by the uniform estimates of the solution.
Shudong Weng, Shaoyue Mi, Dingshi Li
doaj   +1 more source

Investment incentives and auction design in electricity markets [PDF]

open access: yes, 2008
Motivated by the regulatory debate in electricity markets, we seek to understand how market design affects market performance through its impact on investment incentives.
Fabra, Natalia   +2 more
core   +2 more sources

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