Results 81 to 90 of about 98,184 (227)

Global uniqueness for a semilinear biharmonic equation

Boundary Value Problems
In this paper, we prove that the knowledge of the Dirichlet-to-Neumann map, measured on the full boundary of the bounded domain in R n , n ≥ 3 $\mathbb{R}^{n}, n\geq 3$ , can uniquely determine the Taylor series of a ( x , z ) $a(x,z)$ at z = 0 $z=0 ...
Yanjun Ma, Hongxiang Zhang
doaj   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

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
wiley   +1 more source

Value distribution of general Dirichlet series. VII

Lithuanian Mathematical Journal, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Genys, Jonas, Šiaučiūnas, Darius, Laurinčikas, Antanas   +2 more
openaire   +2 more sources

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, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

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, Andrea Spoto, Umberto Granziol, Luca Stefanutti   +3 more
wiley   +1 more source

Efficient Approximation Method for Concrete Creep Compliance Function

Yuanzineng kexue jishu
For concrete, the strain tends to grow when the stress is kept at a constant level. This phenomenon is usually referred to as creep. Creep is an important physical property of concrete.
XIANG Huawei1, 2, , , RONG Hua1, 2, 3, FAN Xinglang2, GENG Yan1, BAI Linhong4
doaj   +1 more source

Generalised Dirichlet series and Hecke's functional equation [PDF]

Proceedings of the Edinburgh Mathematical Society, 1967
The generalised zeta-function ζ(s, α) is defined bywhere α>0 and Res>l. Clearly, ζ(s, 1)=, where ζ(s) denotes the Riemann zeta-function. In this paper we consider a general class of Dirichlet series satisfying a functional equation similar to that of ζ(s). If ø(s) is such a series, we analogously define ø(s, α).
openaire   +1 more source

From tetrachoric to kappa: How to assess reliability on binary scales

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley   +1 more source

LLM‐based prior elicitation for Bayesian graphical modeling

British Journal of Mathematical and Statistical Psychology, EarlyView.
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski, Meike Waaijers, Giuseppe Arena   +2 more
wiley   +1 more source

Entire Functions of Several Variables: Analogs of Wiman’s Theorem

Axioms
This article considers a class of entire functions of several complex variables that are bounded in the Cartesian product of some half-planes. Each such hyperplane is defined on the condition that the real part of the corresponding variable is less than ...
Oleh Skaskiv, Andriy Bandura, Tetyana Salo, Sviatoslav Dubei   +3 more
doaj   +1 more source