Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
Geometry-Sensitive Ensemble Mean Based on Wasserstein Barycenters: Proof-of-Concept on Cloud Simulations
Jia Li
, Fuqing Zhang
Statistics
Huck Institutes of the Life Sciences
Meteorology and Atmospheric Science
Institute for Computational and Data Sciences (ICDS)
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Geometry-Sensitive Ensemble Mean Based on Wasserstein Barycenters: Proof-of-Concept on Cloud Simulations'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Averaging
11%
Barycentre
100%
Centroid
14%
Concepts
44%
Decision Making
12%
Dissimilarity
15%
Ensemble
84%
Entire
10%
Experimental Results
12%
Forecast
57%
Form
5%
Gaussian Mixture Model
17%
Information Geometry
16%
Optimization Algorithm
13%
Pixel
14%
Prediction
9%
Simulation
53%
Simulation Model
14%
Uncertainty
10%
Wasserstein Metric
17%
Weather
16%
Business & Economics
Common Features
16%
Decision Making
12%
Dissimilarity
16%
Gaussian Mixture Model
23%
Geometry
80%
Model Simulation
18%
Prediction
11%
Simulation
57%
Toolkit
16%
Uncertainty
8%
Weather
14%