Results 121 to 130 of about 2,732,414 (284)

MONOTONE INVARIANTS AND EMBEDDINGS OF STATISTICAL MANIFOLDS [PDF]

open access: yes, 2007
In this note we prove certain necessary and sufficient conditions for the existence of an embedding of statistical manifolds. In particular, we prove that any compact smooth ($C^1$ resp.) statistical manifold can be embedded into the space of probability measures on a finite set.
openaire   +3 more sources

Associations of Rheumatoid Arthritis Disease Activity With Frailty Over Five Years of Follow‐up

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate whether rheumatoid arthritis (RA) disease activity is associated with frailty both in cross‐section and longitudinally. Methods Participants within the Veterans Affairs Rheumatoid Arthritis (VARA) registry enrolled from 2003 to 2022 were included.
Courtney N. Loecker   +14 more
wiley   +1 more source

Perceived Impacts and Predictors of Cannabis Products Used by Patients with Rheumatologic Conditions in Alberta, Canada: A Multivariable Analysis of Cross‐Sectional Survey Data

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang   +10 more
wiley   +1 more source

Para-Holomorphic Statistical Structure with Cheeger Gromoll Metric

open access: yesMathematics
We consider the family of λ connections ∇(λ) on a statistical manifold M equipped with a pair of conjugate connections ∇=∇(1) and ∇*=∇(−1), where the λ connection is defined as ∇(λ)=1+λ2∇+1−λ2∇*.
Esmaeil Peyghan   +2 more
doaj   +1 more source

α-Connections and a Symmetric Cubic Form on a Riemannian Manifold

open access: yesEntropy, 2017
In this paper, we study the construction of α -conformally equivalent statistical manifolds for a given symmetric cubic form on a Riemannian manifold.
Keiko Uohashi
doaj   +1 more source

Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective Individuals with systemic lupus erythematosus (SLE) can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the Area Deprivation Index (ADI), and FS in a national SLE sample.
Baljeet Rai   +7 more
wiley   +1 more source

A note on the relationship between rational and trigonometric solutions of the WDVV equations [PDF]

open access: yes, 2007
Legendre transformations provide a natural symmetry on the space of solutions to the WDVV equations, and more specifically, between different Frobenius manifolds.
Riley, A., Strachan, I.A.B.
core   +1 more source

The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases

open access: yesArthritis Care &Research, EarlyView.
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci   +25 more
wiley   +1 more source

A note on harmonic maps of statistical manifolds

open access: yesCommunications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, 2019
Summary: We show an existence and uniqueness result for a class of maps from a flat statistical manifold into a Riemannian manifold in a given homotopy class when the target Riemannian manifold is of negative sectional curvature under a global topological non-triviality condition.
openaire   +5 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

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