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pro vyhledávání: '"62p99"'
Uncertainty visualisation is quickly becomming a hot topic in information visualisation. Exisiting reviews in the field take the definition and purpose of an uncertainty visualisation to be self evident which results in a large amout of conflicting i
Externí odkaz:
http://arxiv.org/abs/2411.10482
Autor:
Knaeble, Brian, Kummerfeld, Erich
We consider the following comparative effectiveness scenario. There are two treatments for a particular medical condition: a randomized experiment has demonstrated mediocre effectiveness for the first treatment, while a non-randomized study of the se
Externí odkaz:
http://arxiv.org/abs/2408.12098
It can be difficult to interpret a coefficient of an uncertain model. A slope coefficient of a regression model may change as covariates are added or removed from the model. In the context of high-dimensional data, there are too many model extensions
Externí odkaz:
http://arxiv.org/abs/2408.09634
We develop a novel approach to partially identify causal estimands, such as the average treatment effect (ATE), from observational data. To better satisfy the stable unit treatment value assumption (SUTVA) we utilize stochastic counterfactuals within
Externí odkaz:
http://arxiv.org/abs/2407.19057
We present tidychangepoint, a new R package for changepoint detection analysis. tidychangepoint leverages existing packages like changepoint, GA, tsibble, and broom to provide tidyverse-compliant tools for segmenting univariate time series using vari
Externí odkaz:
http://arxiv.org/abs/2407.14369
For the purpose of causal inference we employ a stochastic model of the data generating process, utilizing individual propensity probabilities for the treatment, and also individual and counterfactual prognosis probabilities for the outcome. We assum
Externí odkaz:
http://arxiv.org/abs/2407.08862
The overwhelming success of GPT-4 in early 2023 highlighted the transformative potential of large language models (LLMs) across various sectors, including national security. This article explores the implications of LLM integration within national se
Externí odkaz:
http://arxiv.org/abs/2407.03453
Autor:
Telarico, Fabio Ashtar
Publikováno v:
Bulgarski ezik i literatura [Bulgarian Language and Literature], vol. 66, no. 3, 2024
This paper seeks to bridge the gap between archival text analysis and network analysis by applying network clustering methods to analyze the coverage of Bulgaria in 123 issues of the newspaper Osservatore Romano published between January and May 1877
Externí odkaz:
http://arxiv.org/abs/2405.20156
Handball has received growing interest during the last years, including academic research for many different aspects of the sport. On the other hand modelling the outcome of the game has attracted less interest mainly because of the additional challe
Externí odkaz:
http://arxiv.org/abs/2404.04213
Autor:
Erdely, Arturo, Rubio-Sanchez, Manuel
Scatter plots are widely recognized as fundamental tools for illustrating the relationship between two numerical variables. Despite this, based on solid theoretical foundations, scatter plots generated from pairs of continuous random variables may no
Externí odkaz:
http://arxiv.org/abs/2404.00820