Results 241 to 250 of about 23,025 (301)

Monte Carlo Optimization of a Hybrid Spectral / Temporal Single Input Multiple Output (SIMO) Input Derivation for an Oscillatory Decaying Shock.

, 2018
Jerome S. Cap
openalex   +1 more source

Power priors for latent variable mediation models under small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen, Milica Miočević, Carl F. Falk   +2 more
wiley   +1 more source

Corrigendum to "Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method" [Heliyon Volume 9, Issue 8, August 2023, Article e18821]. [PDF]

Heliyon
Owusu FK, Amoako-Yirenkyi P, Frempong NK, Omari-Sasu AY, Mensah IA, Martin H, Sakyi A.   +6 more
europepmc   +1 more source

Splatshop: Efficiently Editing Large Gaussian Splat Models

Computer Graphics Forum, EarlyView.
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz, Christoph Peters, Florian Hahlbohm, Elmar Eisemann, Marcus Magnor, Michael Wimmer   +5 more
wiley   +1 more source

Scaling method for efficient Monte Carlo simulation of fluorescence spectra from multi-layered turbid media with oblique illumination and collection geometry. [PDF]

Biomed Opt Express
Yang R, Wu Q, Liu Q.
europepmc   +1 more source

S-glass/Kevlar-149 hybrid microcomposites in stress-rupture: A Monte Carlo simulation

, 1995
H Stumpf, Peter Schwartz, Markus Lienkamp, Karl Schulte   +3 more
openalex   +1 more source

Hierarchical Differentiable Fluid Simulation

Computer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong, Arnaud Schoentgen, Damien Rioux‐Lavoie, Paul G. Kry, Derek Nowrouzezahrai   +4 more
wiley   +1 more source

Artificial Neural Network and Monte Carlo Simulation in a Hybrid Method for Time Series Forecasting with Generation of L-Scenarios

, 2016
J. P. Bermeo, Hilda Castillo, Xavier Armijos, Diego Jara, F. Sanchez, H. Bermeo   +5 more
openalex   +2 more sources

‘Building the (Im)perfect Beast’: Strategies for Identifying Appropriate Spatial Stock Assessment Model Complexity From an International, Blinded High‐Resolution Simulation Experiment

Fish and Fisheries, EarlyView.
ABSTRACT Despite their potential to inform sustainable regional harvest and climate‐resilient fisheries management, spatial stock assessment models remain underused for management advice. To identify barriers that inhibit broader use of these methods, we conducted a blinded international simulation experiment mimicking real‐world stock assessment ...
Aaron M. Berger, Daniel R. Goethel, Simon D. Hoyle, Patrick Lynch, Caren Barceló, Alistar Dunn, Brian J. Langseth, Carolina Minte‐Vera, Jemery Day, Haikun Xu, Francisco Izquierdo, Dan Fu, Nicholas D. Ducharme‐Barth, Mathew Vincent, Arnaud Grüss, Jonathan J. Deroba, Giancarlo M. Correa, Jeremy McKenzie, Will Butler, Jie Cao, Craig Marsh, Teresa A'mar, Valerio Bartolino, Massimiliano Cardinale, Claudio Castillo‐Jordan, Bjarki Þór Elvarsson, John Hampton, Andrea Havron, Pamela Mace, Arni Magnusson, Mark Maunder, Richard Methot, Sophie Mormede, Maria Grazia Pennino, Alfonso Perez‐Rodriguez, Marta Cousido‐Rocha, Thomas Teears, Agurtzane Urtizberea   +37 more
wiley   +1 more source

Monte Carlo simulation for evaluating and optimizing the efficiency of BR and QIR maintenance strategies. [PDF]

Sci Rep
Cheikh K, Boudi EM, Rabi R, Mokhliss H.
europepmc   +1 more source