Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems
In the last years the reputation of medical, economic, and scientific expertise has been strongly damaged by a series of false predictions and contradictory studies. The lax application of statistical principles has certainly contributed to the uncertainty and loss of confidence in the sciences. Var...
Saved in:
Main Authors: | Michele Lungaroni, Andrea Murari, Emmanuele Peluso, Pasqualino Gaudio, Michela Gelfusa |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/5986562 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Complexity: Frontiers in Data-Driven Methods for Understanding, Prediction, and Control of Complex Systems 2022 on the Development of Information Theoretic Model Selection Criteria for the Analysis of Experimental Data
by: Andrea Murari, et al.
Published: (2022-01-01) -
HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERA
by: Đinh Đồng Lưỡng
Published: (2017-06-01) -
Proximinality in geodesic spaces
by: A. Kaewcharoen, et al.
Published: (2006-01-01) -
The Reciprocal Influence Criterion: An Upgrade of the Information Quality Ratio
by: Riccardo Rossi, et al.
Published: (2021-01-01) -
Testing the Gaussianity and Statistical Isotropy of the Universe
by: Dragan Huterer, et al.
Published: (2010-01-01)