Results 111 to 120 of about 61,616 (135)

Integration of extreme value statistics and Bayesian estimation for early forecasting of aftershock shaking: application to main shock–aftershock sequences in inland Japan

Geophysical Journal International
Extreme value statistics (EVS) is commonly used to model rare, extreme events such as natural disasters. This study proposes a method that integrates EVS and Bayesian estimation to enable the early forecasting of aftershock-induced ground shaking.
K. Sawazaki
semanticscholar   +1 more source

Extreme values statistics for Markov chains with applications to Finance and Insurance

, 2016
P. Bertail, S. Clémençon, C. Tillier
semanticscholar   +1 more source

Statistics for near independence in multivariate extreme values

, 1996
A. Ledford, J. Tawn
semanticscholar   +1 more source

Cancer treatment and survivorship statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Kimberly D Miller, Leticia M Nogueira, Angela B Mariotto   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel, Kimberly D Miller, Nikita Sandeep Wagle   +2 more
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal Dvm   +2 more
exaly  

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal   +2 more
exaly  

Integrating Experts’ Belief in Upper Tail Inference for Modelling of Human-Induced Earthquake Magnitudes

Journal of Agricultural Biological and Environmental Statistics
W. Yue, J. Tawn, R. Towe, Z. Varty
semanticscholar   +1 more source

Cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal   +2 more
exaly  

Colorectal cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel, Nikita Sandeep Wagle, Andrea Cercek   +2 more
exaly