Results 21 to 30 of about 2,253,559 (287)
Continuous Reproducibility in GNSS Signal Processing
IEEE Access, 2018 This paper discusses the reproducibility of scientific experiments in which global navigation satellite system (GNSS) signals play a role. After analyzing the factors that impact the reproducibility of an experiment in the given context, this paper ...
Carles Fernandez-Prades +3 more
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Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
Nature Methods, 2017 We introduce Salmon, a lightweight method for quantifying transcript abundance from RNA–seq reads. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure.
Robert Patro +4 more
semanticscholar +1 more source
2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2013 Lower bounds for the average probability of error of estimating a hidden variable X given an observation of a correlated random variable Y, and Fano's inequality in particular, play a central role in information theory. In this paper, we present a lower bound for the average estimation error based on the marginal distribution of X and the principal ...
Medard, Muriel +5 more
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Aberrant causal inference and presence of a compensatory mechanism in autism spectrum disorder
eLife, 2022 Autism spectrum disorder (ASD) is characterized by a panoply of social, communicative, and sensory anomalies. As such, a central goal of computational psychiatry is to ascribe the heterogenous phenotypes observed in ASD to a limited set of canonical ...
Jean-Paul Noel +4 more
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Foundations of Inference [PDF]
Axioms, 2012 We present a simple and clear foundation for finite inference that unites and significantly extends the approaches of Kolmogorov and Cox. Our approach is based on quantifying lattices of logical statements in a way that satisfies general lattice symmetries.
Kevin H. Knuth, John Skilling
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Inference and analysis of cell-cell communication using CellChat
Nature Communications, 2020 Understanding global communications among cells requires accurate representation of cell-cell signaling links and effective systems-level analyses of those links.
Suoqin Jin +8 more
semanticscholar +1 more source
Detecting Confounding in Multivariate Linear Models via Spectral Analysis
Journal of Causal Inference, 2018 We study a model where one target variable Y$Y$ is correlated with a vector X:=(X1,…,Xd)$\textbf{X}:=(X_1,\dots,X_d)$ of predictor variables being potential causes of Y$Y$.
Janzing Dominik, Schölkopf Bernhard
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One versus two doses: What is the best use of vaccine in an influenza pandemic?
Epidemics, 2015 Avian influenza A (H7N9), emerged in China in April 2013, sparking fears of a new, highly pathogenic, influenza pandemic. In addition, avian influenza A (H5N1) continues to circulate and remains a threat.
Laura Matrajt +3 more
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Media Coverage as Mirror or Molder? An Inference-Based Framework
Media and Communication, 2022 Many communication theories in the context of political communication are based on the premise that humans are social beings affected by their perception of what others think, do, or say.
Christina Peter
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The MR-Base platform supports systematic causal inference across the human phenome
eLife, 2018 Results from genome-wide association studies (GWAS) can be used to infer causal relationships between phenotypes, using a strategy known as 2-sample Mendelian randomization (2SMR) and bypassing the need for individual-level data.
G. Hemani +19 more
semanticscholar +1 more source