Results 121 to 130 of about 1,348,105 (289)
This study aims to analyze the impact of independent variables such as herding bias, overconfidence, anchoring, loss aversion, and religiosity on investment decisions moderated by risk tolerance for investors in Batam City.
Yandi Suprapto +1 more
doaj +1 more source
Paying attention to other animal detections improves camera trap classification models
Abstract In ecological studies, automated species classification models are increasingly used to process large volumes of camera trap images. Most current classification models rely on a two‐step pipeline: a detector first locates and crops animals, followed by a classifier that predicts species independently for each crop.
Gaspard Dussert +3 more
wiley +1 more source
Prompting large language models for quality ecological statistics
Abstract Large language models (LLMs) are rapidly transforming scientific workflows, including ecological statistics and coding. While these AI tools offer impressive capabilities for code generation and scientific reasoning, their responses can be inconsistent, and they may mislead users about appropriate statistical methods.
Christopher J. Brown, Scott Spillias
wiley +1 more source
Aspek Perilaku Dalam Overconfidence: Analysis Bibliometric
Abstract This research aims to conduct a bibliometric analysis of bias overconfidence published from 2017 to 2023. The Crossref database is used to gather information on studies related to overconfidence. A total of 2105 articles have been collected with
Wiara Sanchia Grafita Ryana Devi +1 more
doaj +1 more source
The effect of CEO adverse professional experience on management forecast pessimism
Abstract We examine how CEOs' past experiences of corporate distress affect their subsequent forecast behaviour. We find that CEOs who experienced distress in a non‐CEO position at another firm issue more pessimistic management earnings forecasts after becoming CEO at their current firm.
Eunice S. Khoo +2 more
wiley +1 more source
Long‐run confidence: Estimating uncertainty when using long‐run multipliers
Abstract Researchers are often interested in the long‐run relationship (LRR) between variables where the dependent variable has dynamic properties. Though determining the long‐run multiplier (LRM) for an independent variable is straightforward, correctly estimating the significance of the LRM is often difficult, especially when time series are short ...
Mark David Nieman, David A. M. Peterson
wiley +1 more source
ABSTRACT The proposed Enhanced Games have become a convenient stage for bioethical sermonising about risk, authenticity, and the “spirit of sport”. This is epitomized by a recent article arguing that institutionalizing pharmacological enhancement under the “pretence of medical supervision and personal autonomy” would redefine human excellence in ...
Ognjen Arandjelović
wiley +1 more source
Overconfidence Bias in Thirukkural [PDF]
openaire +1 more source
Abstract Scientific publications on AI education frequently express concerns that students at all educational levels, lacking sufficient AI literacy, may become passive learners due to the use of generative language models and blindly trust AI outputs.
Matthias Carl Laupichler +3 more
wiley +1 more source
Automated face recognition assists with low‐prevalence face identity mismatches but can bias users
Abstract We present three experiments to study the effects of giving information about the decision of an automated face recognition (AFR) system to participants attempting to decide whether two face images show the same person. We make three contributions designed to make our results applicable to real‐word use: participants are given the true ...
Melina Mueller +5 more
wiley +1 more source

