Results 81 to 90 of about 114,475 (241)
Journal of Accounting Research, EarlyView.ABSTRACT This paper provides descriptive evidence on how stock market participants use Generative Artificial Intelligence (GenAI) to process investment‐related information. Using a data set of 1.7 million stock‐related queries from one of China's largest GenAI platforms during the first half of 2024, we document that user queries address a wide range ...
FRANK ECKER, XITONG LI, YILAN LI, FAN WU
wiley +1 more source
On certain multiple Dirichlet series
, 2019 In this paper we study the analytic properties of a multiple Dirichlet series associated to the prehomogeneous vector space of binary cubic forms.Comment: 21 ...
Lee, Eun Hye, Takloo-Bighash, Ramin
core
Coefficient Estimates for Dirichlet Series [PDF]
Transactions of the American Mathematical Society, 1970 Some subsequent papers in much the same vein are due to G. Halasz [3] and to J. M. Anderson and K. G. Binmore [1]. Halasz has obtained estimates for ani 1 an, and Z1 IanI when An + l/Anq> 1 and f satisfies appropriate conditions. The paper of Anderson and Binmore is concerned with the application of coefficient estimates to the study of entire ...
openaire +1 more source
PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses
Journal of Forensic Sciences, EarlyView.Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley +1 more source
Asia-Pacific Journal of Financial Studies, EarlyView.Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
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On Recovering Sturm--Liouville-Type Operator with Delay and Jump Conditions [PDF]
Sahand Communications in Mathematical AnalysisIn this manuscript, the second order differential operators with constant delay and transmission boundary conditions are studied. The asymptotic forms of the characteristic functions and eigenvalues of the operators are obtained.
Mohammad Shahriari, Vladimir Vladicic
doaj +1 more source
An extension of the basic local independence model to multiple observed classifications
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
Spectral multigrid methods for elliptic equations 2 [PDF]
A detailed description of spectral multigrid methods is provided. This includes the interpolation and coarse-grid operators for both periodic and Dirichlet problems.
Hussaini, M. Y. +2 more
core +1 more source
Dirichlet series of Rankin–Cohen brackets
Journal of Mathematical Analysis and Applications, 2011 Given modular forms $f$ and $g$ of weights $k$ and $\ell$, respectively, their Rankin-Cohen bracket $[f,g]^{(k, \ell)}_n$ corresponding to a nonnegative integer $n$ is a modular form of weight $k +\ell +2n$, and it is given as a linear combination of the products of the form $f^{(r)} g^{(n-r)}$ for $0 \leq r \leq n$.
Choie, Y, Lee, MH
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Reliability measures in knowledge structure theory
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source