Results 271 to 280 of about 235,639 (329)
DYNAMIC BAYESIAN NETWORK FOR WEATHER FORECAST AND EVALUATION OF RENEWABLE RESOURCES AVAILABILITY
Alina-Alexandra Ciobanu +3 more
openalex +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Environmental sustainability assessment based on accounting information audit. [PDF]
Hou P, Lu W, Li Q, Wang Q.
europepmc +1 more source
Landscape of Research on Accounting Scope 3 Emissions: A Review of Methodologies and Data
ABSTRACT Scope 3 emissions have been proposed as a critical metric for evaluating corporate carbon footprint, identifying emission sources, and developing mitigation solutions. Yet, widespread corporate reporting of Scope 3 emissions remains limited, highlighting a critical gap in both research and practice.
Zeyu Wang +3 more
wiley +1 more source
Letter to the Editor: integrating Bayesian network-based personalized prediction models to enhance manual acupuncture outcomes for chronic spontaneous urticaria. [PDF]
Ruan C, Ruan C, Wang L.
europepmc +1 more source
Bayesian and Dynamic Bayesian Networks for Credit Risk Modeling in Buy Now, Pay Later
Sheyan Lalmohammed
openalex +1 more source
ABSTRACT This study explores how digital dynamic capabilities (DDC)—specifically digital absorptive capacity (DAC) and digital transformation capacity (DTC)—contribute to environmental sustainability (ES), both directly and through circular supply chain practices (CSCP).
Yi Liang, Tae‐Hoo Kim, Min‐Jae Lee
wiley +1 more source
A General Surrogate Model for CO<sub>2</sub> Flooding Dynamic Prediction Based on Dimensionless Features and Implicit Time. [PDF]
Li C, Wang X, Yu W, Zhou P.
europepmc +1 more source

