logo
ResearchBunny Logo
Unlocking ensemble ecosystem modelling for large and complex networks

Computer Science

Unlocking ensemble ecosystem modelling for large and complex networks

S. A. Vollert, C. Drovandi, et al.

Explore the innovative advancements in the SMC-EEM method as presented by Sarah A. Vollert, Christopher Drovandi, and Matthew P. Adams. This research introduces new algorithms that tackle parameter constraints with a bijective transformation, enhancing computational efficiency in ecosystem modeling.

00:00
00:00
~3 min • Beginner • English
Abstract
Publisher
Not specified in provided text
Published On
Jan 01, 2023
Authors
Sarah A Vollert, Christopher Drovandi, Matthew P Adams
Tags
SMC-EEM
algorithm
ecosystem modeling
parameter constraints
computational efficiency
MCMC-ABC
transformations

Related Publications

Explore these studies to deepen your understanding of the subject.

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
Medicine and Health

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets

X. Xue, S. Chinnaperumal, et al.

Effects of sodium nitrite reduction, removal or replacement on cured and cooked meat for microbiological growth, food safety, colon ecosystem, and colorectal carcinogenesis in Fischer 344 rats
Food Science and Technology

Effects of sodium nitrite reduction, removal or replacement on cured and cooked meat for microbiological growth, food safety, colon ecosystem, and colorectal carcinogenesis in Fischer 344 rats

F. Guéraud, C. Buisson, et al.

Expertise in research integration and implementation for tackling complex problems: when is it needed, where can it be found and how can it be strengthened?
Interdisciplinary Studies

Expertise in research integration and implementation for tackling complex problems: when is it needed, where can it be found and how can it be strengthened?

G. Bammer, M. O'rourke, et al.

Flexible and stretchable metal oxide nanofiber networks for multimodal and monolithically integrated wearable electronics
Engineering and Technology

Flexible and stretchable metal oxide nanofiber networks for multimodal and monolithically integrated wearable electronics

B. Wang, A. Thukral, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny