Results 171 to 180 of about 2,720,618 (349)

Partial identification with categorical data and nonignorable missing outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

Time‐ and State‐Dependent Damage Accumulation Due to Aftershocks Under an M9.0 Megathrust Earthquake in the Cascadia Subduction Zone

Earthquake Engineering &Structural Dynamics, EarlyView.
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

Characterization of Multimodality in Wind Farm Layout Optimization

Energy Science &Engineering, EarlyView.
ABSTRACT The phenomena of multiple optima in wind farm layout optimization (WFLO) problems is investigated. The choice of optimization algorithm and cost of solving WFLO problems is driven by the degree of local optimality in the design space; however little work has attempted to characterize this.
Daniel J. Poole
wiley   +1 more source

Geometric Learning of Canonical Parameterizations of 2<i>D</i>-Curves. [PDF]

Entropy (Basel)
Ciuclea I, Longari G, Tumpach AB.
europepmc   +1 more source

High‐Fidelity Simulation‐Driven Control Framework for Robust Grid Integration of Renewable Energy Systems

Energy Science &Engineering, EarlyView.
This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

Optimal Complexity of Parameterized Quantum Circuits. [PDF]

Entropy (Basel)
Correr GI, Azado PC, Soares-Pinto DO, Carlo GG.   +3 more
europepmc   +1 more source

Code for the paper "What can Hydrological Modelling gain from Spatially Explicit Parameterization and Multi-gauge Calibration?"

Xudong Zheng
openalex   +1 more source

Application of High‐Order Direct Flux Reconstruction and Stiffness‐Resilient Time Integration to Simulations of Idealized Atmospheric Flows

International Journal for Numerical Methods in Fluids, EarlyView.
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault, Christopher Subich, Shoyon Panday, Martin Charron, Vincent Magnoux, Valentin Dallerit, Mayya Tokman   +6 more
wiley   +1 more source

Parameterization of cell-free systems with time-series data using KETCHUP. [PDF]

PLoS Comput Biol
Hu M, Jilani SB, Olson DG, Maranas CD.
europepmc   +1 more source

The Use of New Parameterizations for Gaseous Absorption in the CLIRAD-SW Solar Radiation Code for Models [PDF]

, 2007
T. A. Tarasova, B. A. Fomin
openalex   +1 more source