Results 131 to 140 of about 545,959 (267)

Extending GLUE With Multilevel Methods to Accelerate Statistical Inversion of Hydrological Models

Water Resources Research
Inverse problems aim at determining model parameters that produce observed data to subsequently understand, predict or manage hydrological or other environmental systems.
Max Gustav Rudolph, Thomas Wöhling, Thorsten Wagener, Andreas Hartmann   +3 more
doaj   +1 more source

A Machine Learning Based Hybrid Multi-Fidelity Multi-Level Monte Carlo Method for Uncertainty Quantification

Frontiers in Environmental Science, 2019
This paper focuses on reducing the computational cost of the Monte Carlo method for uncertainty propagation. Recently, Multi-Fidelity Monte Carlo (MFMC) method (Ng, 2013; Peherstorfer et al., 2016) and Multi-Level Monte Carlo (MLMC) method (Müller et al.,
Nagoor Kani Jabarullah Khan, Ahmed H. Elsheikh   +1 more
doaj   +1 more source

A Mixed PDE/Monte Carlo approach as an efficient way to price under high-dimensional systems [PDF]

, 2013
We propose to price derivatives modelled by multi-dimensional systems of stochastic di fferential\ud equations using a mixed PDE/Monte Carlo approach.
Ang, Xing Xian
core   +1 more source

Exploring the associations of generalized trust, climate change conspiracy beliefs and freecycling: Empirical evidence from 34 cultures

British Journal of Psychology, EarlyView.
Abstract This study examined the relationships between generalized trust, climate change conspiracy beliefs and freecycling – a community‐based free‐item sharing pro‐environmental behaviour. It also explored the role of societal factors in relation to participation in freecycling, as well as how they are associated with these relationships.
Algae K. Y. Au, Jacky C. K. Ng, Sylvia Xiaohua Chen   +2 more
wiley   +1 more source

Robust characterization of microfabricated atomic beams on a six-month time scale

Physical Review Research, 2020
Miniature atomic beams can provide new functionalities for atom-based sensing instruments such as atomic clocks and interferometers. We recently demonstrated a planar silicon device for generating well-collimated thermal atomic beams [Nat. Commun.
Chao Li (李超), Bochao Wei (魏博超), Xiao Chai (柴啸), Jeremy Yang, Anosh Daruwalla, Farrokh Ayazi, C. Raman   +6 more
doaj   +1 more source

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid, Leonie V. D. E. Vogelsmeier, Joris Mulder, Joran Jongerling   +3 more
wiley   +1 more source

Idiographic interrater reliability measures for intensive longitudinal multirater data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Interrater reliability plays a crucial role in various areas of psychology. In this article, we propose a multilevel latent time series model for intensive longitudinal data with structurally different raters (e.g., self‐reports and partner reports).
Tobias Koch, Miriam F. Jaehne, Michaela Riediger, Antje Rauers, Jana Holtmann   +4 more
wiley   +1 more source

Memory in the Photon Statistics of Multilevel Quantum Systems

, 2011
The statistics of photons emitted by single multilevel systems is investigated with emphasis on the nonrenewal characteristics of the photon-arrival times.
Felipe Caycedo Soler, Ferney J. Rodriguez, Gert Zumofen, H. J. Carmichael, I. S. Osad’ko   +4 more
core   +1 more source

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

runmlwin : A Program to Run the MLwiN Multilevel Modeling Software from within Stata

Journal of Statistical Software, 2013
We illustrate how to fit multilevel models in the MLwiN package seamlessly from within Stata using the Stata program runmlwin. We argue that using MLwiN and Stata in combination allows researchers to capitalize on the best features of both packages.
George Leckie, Chris Charlton
doaj