Spatial heterogeneity

06 Data Analytics: Spatial Heterogeneity

Lecture on measures of heterogeneity.

From playlist Data Analytics and Geostatistics

IAML19.4 Agglomerative clustering: dendrogram

From playlist Hierarchical Clustering

10b Data Analytics: Spatial Continuity

Lecture on the impact of spatial continuity to motivate characterization and modeling of spatial continuity.

From playlist Data Analytics and Geostatistics

Yulia Gel (4/28/21): Topological Clustering of Multilayer Networks

Title: Topological Clustering of Multilayer Networks Abstract: Multilayer networks continue to gain significant attention in many areas of study, particularly, due to their high utility in modeling interdependent systems such as critical infrastructures, human brain connectome, and socio-

From playlist AATRN 2021

Three-Dimensional Coordinates and the Right-Hand Rule

We've done tons of stuff with the coordinate plane, but that depicts only two spatial dimensions. We experience the world in three spatial dimensions, so sometimes we will need to communicate coordinates in three-dimensional space. Let's look at some rules regarding this system, and a few

From playlist Mathematics (All Of It)

Hierarchical Clustering 5: summary

[http://bit.ly/s-link] Summary of the lecture.

From playlist Hierarchical Clustering

(PP 6.3) Gaussian coordinates does not imply (multivariate) Gaussian

An example illustrating the fact that a vector of Gaussian random variables is not necessarily (multivariate) Gaussian.

From playlist Probability Theory

01d Spatial Data Analytics: Modeling Strategies

A lecture on spatial, subsurface modeling strategies and workflows.

From playlist Spatial Data Analytics and Modeling

21 Data Analytics: Course Conclusion

The final lecture from my Introduction to Geostatistics course. This is a fun lecture with a summary of how the course content could be used to improve your impact at work. Warning, I get a little bit emotional.

From playlist Data Analytics and Geostatistics

1a Data Analytics Reboot: Statistics Concepts

Lecture on basic statistical / data analytics concepts with a bias toward spatial and subsurface applications. Data Analytics and Geostatistics is an undergraduate course that I teach fall and spring semesters at The University of Texas at Austin. We build up fundamental spatial, subsurfa

From playlist Data Analytics and Geostatistics

Quantifying tumor evolution through spatial computational modeling... - Christina Curtis

Mathematical Methods in Cancer Evolution and Heterogeneity Workshop Title: Quantifying tumor evolution through spatial computational modeling and Baysian statistical inference Speaker: Christina Curtis Affiliation: Stanford University Date: June 1, 2017 For more videos, please visit htt

From playlist Mathematical Methods in Cancer Evolution

New Research in Subsurface Data Analytics and Machine Learning

A summary of exciting new research in subsurface data analytics and machine learning from my research program at The University of Texas at Austin. I showcase the great work from many of my PhD students. We are working hard to make a step change in subsurface modeling! For more informati

From playlist Random Talks

[T1 2022] Alison Feder - Modeling the evolution of multi-drug resistance in HIV

HIV-1 is treated with combination therapies of multiple simultaneous drugs targeting different stages of the viral lifecycle, such that no single mutation confers resistance to all drugs used in a treatment. Complete drug resistance should require the co-occurrence of multiple resistance m

From playlist [T1 2022] Workshop - Mathematical models in ecology and evolution - March 21st to 25th, 2022

Julia Charrier: Subsurface flow with uncertainty : applications and numerical analysis issues

Abstract: In this talk we first quickly present a classical and simple model used to describe flow in porous media (based on Darcy's Law). The high heterogeneity of the media and the lack of data are taken into account by the use of random permability fields. We then present some mathemati

From playlist Numerical Analysis and Scientific Computing

Tipping in Spatial Systems (Lecture 2) by Vishwesha Guttal

PROGRAM TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID) ORGANIZERS: Partha Sharathi Dutta (IIT Ropar, India), Vishwesha Guttal (IISc, India), Mohit Kumar Jolly (IISc, India) and Sudipta Kumar Sinha (IIT Ropar, India) DATE: 19 September 2022 to 30 September 2022 VENUE: Ramanujan Lecture Hall an

From playlist TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID, 2022)

13 Data Analytics: Simulation

Lecture on the motivation for simulation vs. estimation and development of the sequential Gaussian simulation approach.

From playlist Data Analytics and Geostatistics

Evaluating a Biomarker for Pluripotency with Time Lapse Imaging

Dr. Michael Halter, NIST presents at the workshop "Characterizing Cell Populations through Dynamic Quantitative Imaging and Molecular Analysis: Challenges and Opportunities in Regenerative Medicine, Cell Therapy and Stem Cell Research"

From playlist UCSF-Stanford CERSI Lecture Series

21b Spatial Data Analytics: Dispersion Variance

Subsurface modeling course lecture on dispersion variance.

From playlist Spatial Data Analytics and Modeling

Christina Curtis, Stanford University - Stanford Big Data 2015

Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.

From playlist Big Data in Biomedicine Conference 2015

Hierarchical Clustering part 1 HD 720p

From playlist Exploratory Data Analysis