Garvesh Raskutti
Dados Biográficos
| ID | 4394332 |
|---|---|
| NOME | Garvesh Raskutti |
| PRENOMES | Garvesh |
| SOBRENOME | Raskutti |
| ASSINATURA | RASKUTTI G |
| AFILIAÇÕES | University of Wisconsin–Madison |
| ORCID | 0000-0002-0522-5423 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 75 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2018 |
| ÍNDICE H | 2 |
The Frugal Inference of Causal Relations
Recent approaches to causal modelling rely upon the causal Markov condition, which specifies which probability distributions are compatible with a directed acyclic graph (DAG). Further principles are required in order to choose among the large number of DAGs compatible with a given probability distribution. Here we present a principle that we call frugality. This principle tells one to choose the DAG with the fewest causal arrows. We argue that f…
The Stealth Media? Groups and Targets behind Divisive Issue Campaigns on Facebook
In light of the foreign interference in the 2016 U.S. elections, the present research asks the question of whether the digital media has become the stealth media for anonymous political campaigns. By utilizing a user-based, real-time, digital ad tracking tool, the present research reverse engineers and tracks the groups (Study 1) and the targets (Study 2) of divisive issue campaigns based on 5 million paid ads on Facebook exposed to 9,519 individ…
The Stealth Media? Groups and Targets behind Divisive Issue Campaigns on Facebook
In light of the foreign interference in the 2016 U.S. elections, the present research asks the question of whether the digital media has become the stealth media for anonymous political campaigns. By utilizing a user-based, real-time, digital ad tracking tool, the present research reverse engineers and tracks the groups (Study 1) and the targets (Study 2) of divisive issue campaigns based on 5 million paid ads on Facebook exposed to 9,519 individ…
The Frugal Inference of Causal Relations
Recent approaches to causal modelling rely upon the causal Markov condition, which specifies which probability distributions are compatible with a directed acyclic graph (DAG). Further principles are required in order to choose among the large number of DAGs compatible with a given probability distribution. Here we present a principle that we call frugality. This principle tells one to choose the DAG with the fewest causal arrows. We argue that f…
The Frugal Inference of Causal Relations
Recent approaches to causal modelling rely upon the causal Markov condition, which specifies which probability distributions are compatible with a directed acyclic graph (DAG). Further principles are required in order to choose among the large number of DAGs compatible with a given probability distribution. Here we present a principle that we call frugality. This principle tells one to choose the DAG with the fewest causal arrows. We argue that f…
The Stealth Media? Groups and Targets behind Divisive Issue Campaigns on Facebook
In light of the foreign interference in the 2016 U.S. elections, the present research asks the question of whether the digital media has become the stealth media for anonymous political campaigns. By utilizing a user-based, real-time, digital ad tracking tool, the present research reverse engineers and tracks the groups (Study 1) and the targets (Study 2) of divisive issue campaigns based on 5 million paid ads on Facebook exposed to 9,519 individ…
Computer Science (2 obras) · Law (2 obras) · Algorithm (1 obras) · Bayesian Modeling and Causal Inference (1 obras) · Causal inference (1 obras) · Causality (physics) (1 obras) · Directed acyclic graph (1 obras) · Econometrics (1 obras) · Frugality (1 obras) · Gender, Feminism, and Media (1 obras)