Results 51 to 60 of about 634,911 (278)

Fast Proxy Centers for the Jeffreys Centroid: The Jeffreys–Fisher–Rao Center and the Gauss–Bregman Inductive Center

open access: yesEntropy
The symmetric Kullback–Leibler centroid, also called the Jeffreys centroid, of a set of mutually absolutely continuous probability distributions on a measure space provides a notion of centrality which has proven useful in many tasks, including ...
Frank Nielsen
doaj   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

open access: yesArthritis Care &Research, EarlyView.
Objective 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 Worldwide Collaboration ...
Myrthe A. van den Berg   +26 more
wiley   +1 more source

Stochastic Ordering of Exponential Family Distributions and Their Mixtures

open access: yes, 2009
We investigate stochastic comparisons between exponential family distributions and their mixtures with respect to the usual stochastic order, the hazard rate order, the reversed hazard rate order, and the likelihood ratio order.
Hardy   +6 more
core   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

open access: yesAdvanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez   +5 more
wiley   +1 more source

FREE EXPONENTIAL FAMILIES AS KERNEL FAMILIES

open access: yesDemonstratio Mathematica, 2009
AbstractFree exponential families have been previously introduced as a special case of ...
openaire   +2 more sources

3D‐Printed Giant Magnetoresistive (GMR) Sensors Based on Self Compliant Springs

open access: yesAdvanced Engineering Materials, EarlyView.
This work explores 3D‐printed GMR sensors utilizing self‐compliant spring structures and conductive PLA composites. By optimizing arm width, we achieved high piezoresistive (0.34%/mm) and magnetoresistive (0.77%/mT) sensitivities. Demonstrated through Bluetooth‐integrated pressure and magnetic position sensing, these full printed low‐cost, customizable
Josu Fernández Maestu   +4 more
wiley   +1 more source

Formulating State Space Models in R with Focus on Longitudinal Regression Models

open access: yesJournal of Statistical Software, 2006
We provide a language for formulating a range of state space models with response densities within the exponential family. The described methodology is implemented in the R-package sspir. A state space model is specified similarly to a generalized linear
Claus Dethlefsen   +1 more
doaj  

Approximation Operators, Exponential, q-Exponential, and Free Exponential Families

open access: yes, 2005
Using the technique developed in approximation theory, we construct examples of exponential families of infinitely divisible laws which can be viewed as deformations of the normal, gamma, and Poisson exponential families. Replacing the differential equation of approximation theory by a q-differential equation, we define the q-exponential families, and ...
Bryc, Wlodzimierz, Ismail, Mourad
openaire   +2 more sources

Limit Laws for Exponential Families [PDF]

open access: yesBernoulli, 1999
The distribution function \(F\) of the random variable \(X\) generates a natural exponential family of distribution functions \(\{F_\lambda, \lambda\in \Lambda\}\), where \[ dF_\lambda(x): =e^{\lambda x}dF(x)/Ee^{\lambda x}\quad\text{for}\quad \lambda\in\Lambda: =\bigl\{\lambda\in(-\infty,\infty) \mid Ee^{\lambda X}
August A. Balkema   +3 more
openaire   +5 more sources

Electrical Conductivities of Conductors, Semiconductors, and Their Mixtures at Elevated Temperatures

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents a comprehensive review of temperature‐dependent electrical conductivity data for multiple material classes at elevated temperatures, highlighting a persistent conductivity gap between metals and semiconductors in the range of 102$\left(10\right)^{2}$– 107$\left(10\right)^{7}$ S/m. Metal–ceramic irregular metamaterials are proposed
Valentina Torres Nieto, Marcia A. Cooper
wiley   +1 more source

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