The information value of interim accounting disclosures: evidence from mandatory monthly revenue reports
Sign Up to like & getrecommendations! Published in 2021 at "Review of Quantitative Finance and Accounting"
DOI: 10.1007/s11156-021-00994-1
Abstract: Using data from Taiwan, where listed firms are required to disclose monthly revenues, this paper examines the information value of mandatory interim revenue disclosures. We find that monthly revenue surprises have a significant effect on… read more here.
Keywords: information value; revenue surprises; monthly revenue; revenue ... See more keywords
Hazard assessment of landslide disaster using information value method and analytical hierarchy process in highly tectonic Chamba region in bosom of Himalaya
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Mountain Science"
DOI: 10.1007/s11629-017-4634-2
Abstract: The present study is focused on a comparative evaluation of landslide disaster using analytical hierarchy process and information value method for hazard assessment in highly tectonic Chamba region in bosom of Himalaya. During study, the… read more here.
Keywords: analytical hierarchy; information value; information; value method ... See more keywords
Automatic Pan–Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2018.2849584
Abstract: Information value functions based on the Kullback–Leibler (KL) divergence have been shown the most effective for planning sensor measurements by means of greedy strategies. The problem of optimizing information value over a finite time horizon… read more here.
Keywords: information value; process; value functions; control ... See more keywords
Landslide Susceptibility Mapping Based on Deep Learning Algorithms Using Information Value Analysis Optimization
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DOI: 10.3390/land12061125
Abstract: Selecting samples with non-landslide attributes significantly impacts the deep-learning modeling of landslide susceptibility mapping. This study presents a method of information value analysis in order to optimize the selection of negative samples used for machine… read more here.
Keywords: information value; susceptibility mapping; landslide susceptibility; model ... See more keywords
Comparison of Logistic Regression, Information Value, and Comprehensive Evaluating Model for Landslide Susceptibility Mapping
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DOI: 10.3390/su13073803
Abstract: This study validated the robust performances of the recently proposed comprehensive landslide susceptibility index model (CLSI) for landslide susceptibility mapping (LSM) by comparing it to the logistic regression (LR) and the analytical hierarchy process information… read more here.
Keywords: logistic regression; information value; susceptibility mapping; model ... See more keywords