Results 101 to 110 of about 4,943,403 (353)
T-Transmuted X Family of Distributions
Statistica, 2018 Using the quadratic transmutation map (QRTM) approach of Shaw and Buckley (2007) and the T -X family method by Alzaatreh et al. (2013b), we have developed a new family of distributions called T -transmuted X family of distributions.
Girish Babu Moolath, Jayakumar K
doaj +1 more source
Advanced Functional Materials, EarlyView.Applying a high electric field to a doped organic semiconductor heats up the charge carrier distribution beyond the lattice temperature, enhancing conductivity. It is shown that the associated effective temperature can be used to extract the effective localization length, which is a characteristic length scale of charge transport and provides ...
Morteza Shokrani +4 more
wiley +1 more source
Geometry of q-Exponential Family of Probability Distributions
Entropy, 2011 The Gibbs distribution of statistical physics is an exponential family of probability distributions, which has a mathematical basis of duality in the form of the Legendre transformation.
Shun-ichi Amari, Atsumi Ohara
doaj +1 more source
On Cauchy-Stieltjes Kernel Families [PDF]
, 2012 We explore properties of Cauchy-Stieltjes families that have no counterpart in exponential families. We relate the variance function of the iterated Cauchy-Stieltjes family to the pseudo-variance function of the initial Cauchy-Stieltjes family.
Bryc, Wlodek +2 more
core
Advanced Functional Materials, EarlyView.This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley +1 more source
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families
, 2013 We study online learning under logarithmic loss with regular parametric models. Hedayati and Bartlett (2012b) showed that a Bayesian prediction strategy with Jeffreys prior and sequential normalized maximum likelihood (SNML) coincide and are optimal if ...
Bartlett, Peter +4 more
core
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
The Transmuted Generalized Odd Generalized Exponential-G Family of Distributions: Theory and Applications [PDF]
, 2021 Hesham Reyad +2 more
openalex +1 more source
Clustering above Exponential Families with Tempered Exponential Measures
, 2022 The link with exponential families has allowed $k$-means clustering to be generalized to a wide variety of data generating distributions in exponential families and clustering distortions among Bregman divergences. Getting the framework to work above exponential families is important to lift roadblocks like the lack of robustness of some population ...
Amid, Ehsan +2 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.This review maps how MOFs can manage hazardous gases by combining adsorption, neutralization, and reutilization, enabling sustainable air‐pollution control. Covering chemical warfare agent simulants, SO2, NOx, NH3, H2S, and volatile organic compounds, it highlights structure‐guided strategies that boost selectivity, water tolerance, and cycling ...
Yuanmeng Tian +8 more
wiley +1 more source