Results 81 to 90 of about 1,930,208 (286)
Optimal designs for nonlinear regression models with respect to non-informative priors
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]
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
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
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
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
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
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
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
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]
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

