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Biodiversity Dynamics on Islands: Explicitly Accounting for Causality in Mechanistic Models
Island biogeography remains a popular topic in ecology and has gained renewed interest due to recent theoretical development. As experimental investigation of the theory is difficult to carry out, mechanistic simulation models provide useful alternatives.
Ludwig Leidinger+1 more
doaj +1 more source
Causal models on probability spaces [PDF]
We describe the interface between measure theoretic probability and causal inference by constructing causal models on probability spaces within the potential outcomes framework. We find that measure theory provides a precise and instructive language for causality and that consideration of the probability spaces underlying causal models offers clarity ...
arxiv
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation [PDF]
Causal reasoning ability is crucial for numerous NLP applications. Despite the impressive emerging ability of ChatGPT in various NLP tasks, it is unclear how well ChatGPT performs in causal reasoning. In this paper, we conduct the first comprehensive evaluation of the ChatGPT's causal reasoning capabilities.
arxiv
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising+11 more
wiley +1 more source
Financial Reforms, Financial Development, and Economic Growth in the Ivory Coast
This study investigates the relationship between financial development and economic growth in the Ivory Coast over the period from 1961 to 2014. The final goal of this research is to develop a procedure to identify the effects of financial reforms for ...
Vassiki Sanogo, Richard K. Moussa
doaj +1 more source
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms [PDF]
Learning disentangled causal representations is a challenging problem that has gained significant attention recently due to its implications for extracting meaningful information for downstream tasks. In this work, we define a new notion of causal disentanglement from the perspective of independent causal mechanisms. We propose ICM-VAE, a framework for
arxiv
How to be causal: time, spacetime, and spectra
I explain a simple definition of causality in widespread use, and indicate how it links to the Kramers Kronig relations. The specification of causality in terms of temporal differential eqations then shows us the way to write down dynamical models so ...
+21 more
core +1 more source
LINC00323 variant is associated with increased risk of essential tremor
Abstract Essential tremor (ET) is a common adult movement disorder, with accumulating evidence suggesting that genetic factors primarily account for ET risk. However, replication studies on the genetic variants have yielded inconsistent results. In our case–control study, we show that the LINC00323 variant, identified in a European GWAS study, is ...
Brendan Tan+11 more
wiley +1 more source
Correlation Dimension Detects Causal Links in Coupled Dynamical Systems
It is becoming increasingly clear that causal analysis of dynamical systems requires different approaches than, for example, causal analysis of interconnected autoregressive processes.
Anna Krakovská
doaj +1 more source
ABSTRACT Objective Sleep spindles are an electrophysiological fingerprint of the sleeping human brain. They can be described in terms of duration, frequency, amplitude, and density, and vary widely according to age and sex. Spindles play a role in sleep and wake functions and are altered in several neurological and psychiatric disorders.
Julien Coelho+8 more
wiley +1 more source