Results 91 to 100 of about 1,600,993 (289)
The Geometry of Signal Detection with Applications to Radar Signal Processing
The problem of hypothesis testing in the Neyman–Pearson formulation is considered from a geometric viewpoint. In particular, a concise geometric interpretation of deterministic and random signal detection in the philosophy of information geometry is ...
Yongqiang Cheng +4 more
doaj +1 more source
ABSTRACT Objective Facioscapulohumeral muscular dystrophy type 1 (FSHD1) is a progressive neuromuscular disorder with no approved treatments. Identifying reliable biomarkers is critical to monitor disease severity, activity, and progression. Interleukin‐6 (IL‐6) has been proposed as a candidate biomarker, but longitudinal validation is limited ...
Jonathan Pini +13 more
wiley +1 more source
Deformed Algebras and Generalizations of Independence on Deformed Exponential Families
A deformed exponential family is a generalization of exponential families. Since the useful classes of power law tailed distributions are described by the deformed exponential families, they are important objects in the theory of complex systems.
Hiroshi Matsuzoe, Tatsuaki Wada
doaj +1 more source
Dual Connections in Nonparametric Classical Information Geometry
We construct an infinite-dimensional information manifold based on exponential Orlicz spaces without using the notion of exponential convergence. We then show that convex mixtures of probability densities lie on the same connected component of this ...
Grasselli, M. R.
core +2 more sources
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg +26 more
wiley +1 more source
Variational Information Principles to Unveil Physical Laws
This article demonstrates that the application of the variation method to purely information-theoretic models can lead to the discovery of fundamental equations in physics, such as Schrödinger’s equation.
D. Bernal-Casas, J. M. Oller
doaj +1 more source
Cramer-Rao Lower Bound and Information Geometry
This article focuses on an important piece of work of the world renowned Indian statistician, Calyampudi Radhakrishna Rao. In 1945, C. R. Rao (25 years old then) published a pathbreaking paper, which had a profound impact on subsequent statistical ...
Nielsen, Frank
core +1 more source
Stochastic time-evolution, information geometry and the Cramer-Rao Bound [PDF]
We investigate the connection between the time-evolution of averages of stochastic quantities and the Fisher information and its induced statistical length.
Dechant, Andreas, Ito, Sosuke
core +2 more sources
Using supramolecular monomers, various hydrogel culture systems were formulated to culture protoplasts; including 2D, 2.5D, and 3D hydrogels. Depending on the culture platform, bioactive functionalization led to protoplast enlargement (2D and 2.5D) or plasmolysis (3D). This work shows the potential to modularly engineer synthetic platforms for cellular
Maritza M. Rovers +3 more
wiley +1 more source
Quantum information geometry of driven CFTs
Driven quantum systems exhibit a large variety of interesting and sometimes exotic phenomena. Of particular interest are driven conformal field theories (CFTs) which describe quantum many-body systems at criticality.
Jan de Boer +3 more
doaj +1 more source

