Tianjaou Chu, David Danks, and Clark Glymour. Data Driven Methods for Nonlinear Granger Causality: Climate Teleconnection Mechanisms
The concepts of weak, strong and strict Granger causality are introduced for nonlinear time series m...
This dissertation consists of six distinct research studies that are broadly classified into two par...
Teleconnections are sources of predictability for regional weather and climate but the relative cont...
We describe a unification of old and recent ideas for formulating graphical models to explain time s...
The attribution of factors influencing positive and negative phase durations of climate teleconnecti...
Satellite Earth observation has led to the creation of global climate data records of many important...
We use the framework of Granger-causality testing in high-dimensional vector autoregressive models (...
Source code for the publications on "a non-linear Granger-causality framework to investigate climate...
The causality proposed by Granger (1969) and several tests for it are often used in economic science...
Granger causality is a statistical concept of causality that is based on prediction. According to Gr...
Attribution studies in climate science aim for scientifically ascertaining the influence of climatic...
We test for causality between radiative forcing and temperature using multivariate time series model...
Identifying causal relationships from observational time series data is a key problem in disciplines...
The Earth system is a complex non-linear dynamical system. Despite decades of research, many process...
In this paper we test for Granger causality in high-dimensional vector autoregressive models (VARs) ...
The concepts of weak, strong and strict Granger causality are introduced for nonlinear time series m...
This dissertation consists of six distinct research studies that are broadly classified into two par...
Teleconnections are sources of predictability for regional weather and climate but the relative cont...
We describe a unification of old and recent ideas for formulating graphical models to explain time s...
The attribution of factors influencing positive and negative phase durations of climate teleconnecti...
Satellite Earth observation has led to the creation of global climate data records of many important...
We use the framework of Granger-causality testing in high-dimensional vector autoregressive models (...
Source code for the publications on "a non-linear Granger-causality framework to investigate climate...
The causality proposed by Granger (1969) and several tests for it are often used in economic science...
Granger causality is a statistical concept of causality that is based on prediction. According to Gr...
Attribution studies in climate science aim for scientifically ascertaining the influence of climatic...
We test for causality between radiative forcing and temperature using multivariate time series model...
Identifying causal relationships from observational time series data is a key problem in disciplines...
The Earth system is a complex non-linear dynamical system. Despite decades of research, many process...
In this paper we test for Granger causality in high-dimensional vector autoregressive models (VARs) ...
The concepts of weak, strong and strict Granger causality are introduced for nonlinear time series m...
This dissertation consists of six distinct research studies that are broadly classified into two par...
Teleconnections are sources of predictability for regional weather and climate but the relative cont...
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