Results 111 to 120 of about 40,175 (220)
Bayesian and Related Methods: Techniques Based on Bayes\u27 Theorem
Bayes\u27 theorem is a simple algebraic consequence of conditional probability. Yet, its consequences are critical to philosophy, society, and technology.
Vurkaç, Mehmet
core
Aggregation and the Structure of Value
ABSTRACT Roughly, the view I call “Additivism” sums up value across time and people. Given some standard assumptions, I show that Additivism follows from two principles. The first says that how lives align in time cannot, in itself, matter. The second says, roughly, that a world cannot be better unless it is better within some period or another.
Weng Kin San
wiley +1 more source
Bayes Theorem and Protopathic Bias: Methodological Concerns When Addressing the Impact of Fetal Heart Rate Patterns on the Cesarean Section Rate. [PDF]
Balayla J +3 more
europepmc +1 more source
Comparing Bayes\u27s Theorem to Frequency-Based Approaches to Teaching Bayesian Reasoning
Despite the conceptual simplicity of Bayesian reasoning, people often err when calculating or estimating conditional probability. These mistakes can have significant real-world consequences, and Bayes\u27s Theorem is a notoriously difficult remedy to ...
Ruscio, John
core
Is A Little Learning Dangerous?
ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley +1 more source
A Wide Range No-Regret Theorem [PDF]
In a sequential decision problem at any stage a decision maker, based on the history, takes a decision and receives a payoff which depends also on the realized state of nature.
Ehud Lehrer, Dinah Rosenberg
core
Assessing the Effectiveness of Workers' Selection Exams: The Case of the Bank of Italy
ABSTRACT High‐stakes exams can be used to rank and select candidates for job openings, and the ability of those selected hinges on the design of the exam. I propose a method to model candidates' performance to assess how effective the exam is at selecting high‐ability candidates.
Santiago Pereda‐Fernández
wiley +1 more source
Bayesian Posteriors Without Bayes' Theorem
The classical Bayesian posterior arises naturally as the unique solution of several different optimization problems, without the necessity of interpreting data as conditional probabilities and then using Bayes' Theorem.
Theodore P. HILL, DALL'AGLIO, MARCO
core
Personnel Psychology's 40 Questions Series: Artificial Intelligence
ABSTRACT In this article, we present a curated set of 40 questions on Artificial Intelligence (AI) to address its rapidly evolving role in Industrial/Organizational (I/O) Psychology, Human Resources (HR), and Organizational Behavior (OB) research and practice. We solicited questions from our professional networks and organized the responses into themes:
Emily D. Campion, Scott Tonidandel
wiley +1 more source

