What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Social psychology
David V. Budescu mostly deals with Social psychology, Statistics, Econometrics, Probabilistic logic and Set.
His Social psychology research is multidisciplinary, incorporating perspectives in Mathematical economics, Outcome and Nonverbal communication.
His work on Event as part of general Statistics study is frequently connected to Function and Interval, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His biological study spans a wide range of topics, including Regression analysis, Linear regression, Multicollinearity and Dominance.
David V. Budescu interconnects Consistency, Affect and Interpretation in the investigation of issues within Probabilistic logic.
In his research on the topic of Set, Comprehension and Scoring rule is strongly related with Actuarial science.
His most cited work include:
- Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression. (616 citations)
- Simultaneous Over- and Underconfidence: The Role of Error in Judgment Processes. (492 citations)
- The dominance analysis approach for comparing predictors in multiple regression. (470 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Statistics, Econometrics, Social psychology, Artificial intelligence and Vagueness.
Statistics and Function are two areas of study in which David V. Budescu engages in interdisciplinary research.
David V. Budescu works mostly in the field of Econometrics, limiting it down to topics relating to Overconfidence effect and, in certain cases, Confidence interval.
His research in Social psychology focuses on subjects like Resource, which are connected to Common knowledge.
His Artificial intelligence research incorporates elements of Machine learning and Natural language processing.
His work deals with themes such as Ambiguity aversion, Ambiguity and Preference, which intersect with Vagueness.
He most often published in these fields:
- Statistics (27.75%)
- Econometrics (23.44%)
- Social psychology (21.53%)
What were the highlights of his more recent work (between 2011-2021)?
- Econometrics (23.44%)
- Statistics (27.75%)
- Social psychology (21.53%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Econometrics, Statistics, Social psychology, Vagueness and Probabilistic logic.
His Econometrics study integrates concerns from other disciplines, such as Multiple choice, Prospect theory, Range and Multiple experts.
In his study, he carries out multidisciplinary Statistics and Support research.
His research investigates the connection between Social psychology and topics such as Simple that intersect with issues in Dilemma and Resource management.
The Vagueness study combines topics in areas such as Group decision-making, Affect, Risk perception, Investment and Ambiguity.
His study in Probabilistic logic is interdisciplinary in nature, drawing from both Coherence, Algorithm, Interpretation and Set.
Between 2011 and 2021, his most popular works were:
- Effective communication of uncertainty in the IPCC reports (126 citations)
- How to measure diversity when you must. (113 citations)
- Identifying Expertise to Extract the Wisdom of Crowds (112 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Social psychology
David V. Budescu mainly focuses on Econometrics, Social psychology, Actuarial science, Behavioural sciences and Probabilistic logic.
David V. Budescu has researched Econometrics in several fields, including Prospect theory, Psychometrics, Loss aversion, Variance and Scoring rule.
His studies in Social psychology integrate themes in fields like Neutrality and Personal experience.
His Actuarial science research includes elements of Spite, Visualization, Conditional probability and Prior probability.
His study looks at the relationship between Probabilistic logic and topics such as Consistency, which overlap with Set.
David V. Budescu works mostly in the field of Set, limiting it down to concerns involving Knowledge sharing and, occasionally, Social dilemma.
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