Results 101 to 110 of about 1,205,834 (315)
Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models [PDF]
In this paper Efficient Importance Sampling (EIS) is used to perform a classical and Bayesian analysis of univariate and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very accurate procedure
Liesenfeld, Roman +1 more
core
Advanced Optical Materials, EarlyView.We performed a computational screening of phosphorescent emitters and charge transporters for OLEDs to identify combinations that minimize triplet‐polaron quenching, a major cause of efficiency loss and short operational lifetimes, especially in blue OLEDs. Our results reveal key design rules and highlight emitter‐transporter pairs that strongly reduce
Clint van Hoesel +2 more
wiley +1 more source
Symposium - International Astronomical Union, 1996 The revision of the Stodółkiewicz's Monte-Carlo code is presented. It treats each superstar as a single star and follows the evolution and motion of all individual stellar objects. The first calculations, for equalmass N-body systems with three-body energy generation accordingly to Spitzer's formulae, show good agreement with the direct N-body ...
openaire +1 more source
Advanced Optical Materials, EarlyView.A polymer–perovskite composite obtained by mechanochemical synthesis enables thick, tunable active layers for efficient absorption of highly penetrating ionizing radiation. Vertical‐electrode detectors achieve low X‐ray detection limits and high sensitivity direct 5 MeV proton sensing.
Camilla Bordoni +9 more
wiley +1 more source
A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation
Energies, 2016 A novel Monte Carlo (MC) approach is proposed for the simulation of wind speed samples to assess the wind energy production potential of a site. The Monte Carlo approach is based on historical wind speed data and reserves the effect of autocorrelation ...
Birgir Hrafnkelsson +2 more
doaj +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Risk Analysis of Project Scheduling Using Microsoft Excel
Matrix: Jurnal Manajemen Teknologi dan Informatika, 2018 Scheduling plays a very important role for the successful implementation of construction projects. One of the biggest risks in scheduling is in terms of project costs and duration uncertainty.
I Nyoman Suardika +4 more
doaj +1 more source
SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
Advanced Science, EarlyView.ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source
Lifshitz Transition in Correlated Topological Semimetals
Advanced Science, EarlyView.Theoretical calculations reveal that in YPtBi and GdPtBi, strong electronic correlations shift topological Dirac nodes away from the Fermi level by forming large hole pockets. This effect is sensitive to temperature and arises from interactions among 4d or 4f electrons, offering insights into Fermi surface engineering in quantum materials.
Byungkyun Kang +4 more
wiley +1 more source