Results 61 to 70 of about 50,402 (312)
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
evgam: An R Package for Generalized Additive Extreme Value Models
Journal of Statistical Software, 2022 This article introduces the R package evgam. The package provides functions for fitting extreme value distributions. These include the generalized extreme value and generalized Pareto distributions.
Benjamin D. Youngman
doaj +1 more source
The generalized Pareto process; with a view towards application and simulation
, 2014 In extreme value statistics, the peaks-over-threshold method is widely used. The method is based on the generalized Pareto distribution characterizing probabilities of exceedances over high thresholds in $\mathbb {R}^d$.
de Haan, Laurens, Ferreira, Ana
core +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Statistical modeling of the net worth of billionaires in Africa
Scientific AfricanAfrica has the potential to become an economic giant, yet we are aware of no papers modeling the net worth of billionaires in Africa. In this note, we fit the lognormal, Pareto type I, Fréchet, Weibull, generalized extreme value, gamma, log logistic ...
Saralees Nadarajah, Adamu Abubakar Umar
doaj +1 more source
A New Class of Generalized Probability-Weighted Moment Estimators for the Pareto Distribution
Mathematics, 2023 Estimation based on probability-weighted moments is a well-established method and an excellent alternative to the classic method of moments or the maximum likelihood method, especially for small sample sizes. In this research, we developed a new class of
Frederico Caeiro, Ayana Mateus
doaj +1 more source
LQ-Moments for Regional Flood Frequency Analysis: A Case Study for the North-Bank Region of the Brahmaputra River, India [PDF]
, 2011 The LQ-moment proposed by Mudholkar, et al. (1998) is used for regional flood frequency analysis of the North-Bank region of the river Brahmaputra, India.
Bhuyan, Abhijit, Borah, Munindra
core +2 more sources
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
A Generalization of Exponentiated Pareto-I Distribution with Applications
Journal of Applied Science and EngineeringAccording to earlier research, transmuting a standard distribution often results in a compound distribution that performs better and is more flexible. In light of this fact, this article proposes two novel generalized versions of the exponentiated Pareto-
Hussein Eledum, S.I. Ansari
doaj +1 more source
An Overview of Statistical Methods for Studying the Extreme Rainfalls in Mediterranean
Proceedings, 2017 Extreme rainfall is one of the most devastating natural events. The frequency and intensity of these events has increased. This trend will likely continue as the effects of climate change become more pronounced.
Georgia Lazoglou +1 more
doaj +1 more source