Alternatively, people with less pharmacy experience used fewer causal arguments to form trustworthiness beliefs. These people instead relied on information from external sources (e.g., physicians ...

Katherine Fung is a Newsweek senior reporter based in New York City. She has covered U.S. politics and culture extensively. Katherine joined Newsweek in 2020. She is a graduate of the University ...

But in at least one case, he is encountering an unforeseen obstacle: his previous arguments in court. On Monday, the board that awards the Pulitzer Prizes — which Mr. Trump sued in Florida in ...

The rapper was charged with two counts of assault and pleaded not guilty. Opening arguments began on Friday in the trial of A$AP Rocky. The Grammy-nominated rapper ...

The Minnesota Supreme Court hears oral arguments in two cases challenging the legitimacy of sessions involving only House Republicans, who have taken chamber control as Democrats hold out ...

Professor Robert Leider, who writes in both constitutional law and criminal law, passed along these comments on the Supreme Court's recent oral argument in an excessive force case and I thought ...

Abstract: The causal structure learning for streaming features (CSLSFs) faces the following challenges: 1) the precision of learned causal structures is limited due to the score-based learning method ...

Having this in mind, we proposed a large-Scale multi-objective optimization framework named Causal Inference Based Competitive Swarm Optimizer (CI-CSO). Specifically, a causal information (CI) based ...

This Mendelian randomization aims to comprehensively evaluate the causal relationships between 91 inflammatory cytokines and MD. Methods: A comprehensive two-sample Mendelian randomization (MR) ...

Causality connotes lawlike necessity, whereas probabilities connote exceptionality, doubt, and lack of regularity. --Judea Pearl Graph Causal Learning is an emerging research area and it can be widely ...

Using the text_col parameter, we include the raw review text as another “controlled-for” variable. CausalNLP supports estimation of heterogeneous treatment effects (i.e., how causal impacts vary ...