Results 81 to 90 of about 13,071 (304)
Convenient Specification Tests for Logit and Probit Models [PDF]
We propose several Lagrange Multiplier tests of logit and probit models, which may be inexpensively computed by artificial linear regressions. These may be used to test for omitted variables and heteroskedasticity.
Russell Davidson, James G. MacKinnon
core
Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates the impact of digital finance and financial inclusion on carbon emissions within a multi‐country panel framework, contributing to the emerging Finance 5.0 literature that links digital transformation with environmental sustainability.
Utku Altunöz
wiley +1 more source
Lagrange multiplier selection based on SATD for H.265/HEVC
Tongxin xuebao, 2017 In order to improve the coding performance of intra rough mode decision,a SATD-based Lagrange multiplier selection algorithm was proposed for H.265/HEVC.The characteristic of Hadamard transform was first analyzed,and following the new Lagrange multiplier
Wei LI, Fan ZHAO, Er-hu ZHANG, Peng REN
doaj +2 more sources
Output Maximization of an Agency [PDF]
Considering Cobb-Douglas function in three variables as an explicit form of production function, in this paper an attempt has been made to maximize an output subject to a budget constraint, using Lagrange multipliers technique, as well as necessary and ...
Haradhan Kumar Mohajan +2 more
core
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Generalized Lagrange Multipliers in Elastoplastic Torsion
Journal of Differential Equations, 1994 It has been shown that for a solution \(u \in K = \{u \in H^ 1_ 0(\Omega) : | Dv(x)| \leq 1\) a.e. in \(\Omega\}\) of the problem \(\min_{v \in K} \bigl\{ \int_ \Omega f(x,Dv) dx - \int_ \Omega gv dx\biggr \}\), where \(f(x,\cdot)\) is strictly convex for a.e. \(x \in \Omega\), \(\alpha | \xi|^ 2 \leq f(x,\xi) \leq A(1 + | \xi|^ 2)\) for a.e.
V. C. PIAT, PERCIVALE, DANILO
openaire +1 more source
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Cost Minimization of a Competitive Firm [PDF]
One of the economists’ missions is to predict the behavioral responses of consumers or firms on the assumption that optimizing continues. Once this capability is developed, economists try to manage “today” to optimize future economic return of the inputs.
Jamal Nazrul Islam, Pahlaj Moolio
core
A BACKGROUND PROPORTION ADAPTIVE LAGRANGE MULTIPLIER SELECTION METHOD FOR SURVEILLANCE VIDEO ON HEVC
, 2013 In the recent video coding standards, the selection of Lagrange multiplier is crucial to achieve trade-off between the choices of low-distortion and low-bitrate prediction modes.
Wang, Ronggang +9 more
core +1 more source
A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source