Results 51 to 60 of about 6,398 (252)

A Consistent Nonparametric Multivariate Density Estimator Based on Statistically Equivalent Blocks

The Annals of Mathematical Statistics, 1970
Let $x_1, x_2, \cdots, x_m$ be a random sample from a $p$-dimensional random variable $X = (X_1, X_2, \cdots, X_p)$ with probability distribution $P$. It is assumed that $P$ is absolutely continuous with respect to Lebesgue measure, and that the corresponding probability density function is denoted by $f$. If $z = (z_1, z_2, \cdots, z_p)$ is a point at
openaire   +3 more sources

Nonparametric estimation of a multivariate density under Kullback-Leibler loss with ISDE

, 2022
In this paper, we propose a theoretical analysis of the algorithm ISDE, introduced in previous work. From a dataset, ISDE learns a density written as a product of marginal density estimators over a partition of the features. We show that under some hypotheses, the Kullback-Leibler loss between the proper density and the output of ISDE is a bias term ...
openaire   +2 more sources

Do ESG‐Related Managerial Capabilities Pay Off for SMEs? Evidence From the Small and Medium‐Sized Enterprise ESG Capability Measure (SM‐ESG)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Large companies have a long track record of environmental, social, and governance (ESG) initiatives, whereas many small and medium‐sized enterprises (SMEs) lag in adopting sustainability‐related practices, often acting voluntarily or in response to stakeholder pressures and incentives.
Vivien Csapi, Mónika Galambosné Tiszberger, Gábor Márkus, Ákos Tóth‐Pajor, Petra Putzer   +4 more
wiley   +1 more source

FFT-Based Probability Density Imaging of Euler Solutions

Entropy
When using traditional Euler deconvolution optimization strategies, it is difficult to distinguish between anomalies and their corresponding Euler tails (those solutions are often distributed outside the anomaly source, forming “tail”-shaped spurious ...
Shujin Cao, Peng Chen, Guangyin Lu, Zhiyuan Ma, Bo Yang, Xinyue Chen   +5 more
doaj   +1 more source

Sustainability Disclosure and Firm Value: External ESG Evaluation and the Role of Advertising Intensity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines whether sustainability reporting becomes relevant to firm value partly through externally evaluated ESG performance and whether this process varies with firms' communication environments. Using firm‐year data on Korean listed firms from 2019 to 2021, we estimate regression models with year and industry fixed effects and ...
Jaehyun Park, Hyuk Kwon
wiley   +1 more source

Scenario-Based Optimized Coordinated Scheduling of Transmission and Distribution Networks With Multiple Timescales Considering Renewables Correlations

IEEE Access
The increasing integration of distributed energy resources (DERs) into distribution networks enhances operational flexibility but also introduces significant challenges, including bidirectional power flow and uncertainties in both generation and load ...
Ruifeng Zhao, Ruhao Wu, Jiangang Lu, Fengchao Chen, Qiwei Li   +4 more
doaj   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications

IEEE Access
Accurate modeling of multiband spectrum utilization is essential for data-driven spectrum management and refarming in mobile communication systems. However, the bounded and non-Gaussian nature of Resource Block (RB) utilization, together with complex ...
Yunbae Kim, Jonghun Yoon, Hyeyeon Kwon, and Seungkeun Park   +3 more
doaj   +1 more source

Multivariate Density Estimation and Visualization [PDF]

This chapter examines the use of flexible methods to approximate an unknown density function, and techniques appropriate for visualization of densities in up to four dimensions. The statistical analysis of data is a multilayered endeavor.
Scott, David W.
core  

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source