Results 71 to 80 of about 18,958 (230)
ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Multivariate count data are commonly encountered through high‐throughput sequencing technologies in bioinformatics, text mining, or sports analytics. Although the Poisson distribution seems a natural fit to these count data, its multivariate extension is computationally expensive.
Sanjeena Subedi, Ryan P. Browne
openaire +2 more sources
ABSTRACT Understanding Neotropical megadiversity remains challenging due to fundamental taxonomic issues, including identifying and describing cryptic species and their distribution, and the limited knowledge of key factors driving biological diversification. Such challenges are especially prominent in diverse clades with high levels of cryptic species,
Felipe Camurugi +10 more
wiley +1 more source
Pricing Zero-Coupon Catastrophe Bonds Using EVT with Doubly Stochastic Poisson Arrivals
The frequency and severity of climate abnormal change displays an irregular upward cycle as global warming intensifies. Therefore, this paper employs a doubly stochastic Poisson process with Black Derman Toy (BDT) intensity to describe the catastrophic ...
Zonggang Ma, Chaoqun Ma, Shisong Xiao
doaj +1 more source
Seismic Design of Concrete Dams: An Integrated Risk‐Informed Performance‐Based (RIPB) Framework
ABSTRACT This paper advances the integration of risk‐informed principles into the seismic design of dams—a domain long guided by standards‐based, largely deterministic approaches. While performance‐based earthquake engineering is well established for buildings and bridges, its systematic adoption in dam engineering remains limited. We first address two
M. Amin Hariri‐Ardebili, Larry K. Nuss
wiley +1 more source
BIVARIATE POISSON LOG-NORMAL REGRESSION MODELING ON THE NUMBER OF LEPROSY CASES IN INDONESIA
Bivariate Poisson regression is a method for modeling two correlated count response variables. However, standard Poisson models often assume equidispersion, which is frequently violated in real-world data due to overdispersion. To address this issue, the
Nasrah Sirajang +2 more
doaj +1 more source
Modeling the Frequency of Cyclists’ Red-Light Running Behavior Using Bayesian PG Model and PLN Model
Red-light running behaviors of bicycles at signalized intersection lead to a large number of traffic conflicts and high collision potentials. The primary objective of this study is to model the cyclists’ red-light running frequency within the framework ...
Yao Wu, Jian Lu, Hong Chen, Qian Wan
doaj +1 more source
ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
wiley +1 more source
ABSTRACTMany studies investigate contributing factors of intersection crashes, but very limited studies focus on cashes on the intersection approach. It is important to address the characteristics of intersection-approach crashes to better understand intersection safety.
Zhao, Mo +3 more
openaire +3 more sources
Radio Pulse Power Distribution of Lightning in Jupiter's 2021–2022 Stealth Superstorms
Abstract Surveys and observations of lightning on Jupiter prior to the NASA Juno mission used night‐side imaging approaches, and a common conclusion was that the optical energy was similar to the highest energy terrestrial lightning flashes, or superbolts.
Michael H. Wong +12 more
wiley +1 more source

