Results 71 to 80 of about 109,032 (273)
Volatility modelling and accurate minimun capital risk requirements : a comparison among several approaches [PDF]
In this paper we estimate, for several investment horizons, minimum capital risk requirements for short and long positions, using the unconditional distribution of three daily indexes futures returns and a set of GARCH-type and stochastic volatility ...
Grané, Aurea, Veiga, Helena
core +1 more source
We provide some asymptotic theory for the largest eigenvalues of a sample covariance matrix of a p-dimensional time series where the dimension p = p_n converges to infinity when the sample size n increases.
Davis, Richard +3 more
core +1 more source
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data
Non-independent and identically distributed (non-IID) data is a key challenge in federated learning (FL), which usually hampers the optimization convergence and the performance of FL. Existing data augmentation methods based on federated generative models or raw data sharing strategies for solving the non-IID problem still suffer from low performance ...
Duan, Shaoming +5 more
openaire +2 more sources
How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan +3 more
wiley +1 more source
ABSTRACT EU member states have exhibited varying rates of apple production growth. Technical efficiency (TE) estimation is suitable for identifying best‐practice farm performance. This study examined whether the development of the apple sector in Germany, Italy, and Poland was influenced by production efficiency, access to technology, as well as ...
Anika Muder, Jakub Staniszewski
wiley +1 more source
Federated learning has emerged as a promising approach for collaborative model training across distributed devices. Federated learning faces challenges such as Non-Independent and Identically Distributed (non-IID) data and communication challenges.
Basmah Alotaibi +2 more
doaj +1 more source
Federated Learning Based on OPTICS Clustering Optimization
Federated learning (FL) has emerged for solving the problem of data fragmentation and isolation in machine learning based on privacy protection. Each client node uploads the trained model parameter information to the central server based on the local ...
Chenyang Lu +4 more
doaj +1 more source
U.S. Consumer Preferences for Cage‐Free Eggs and Hen Housing Policies
ABSTRACT Farm animal welfare (FAW) continues to be a divisive issue in the egg industry. In the United States, 10 states and most major retailers have implemented policies or voluntary pledges to transition to 100% cage‐free egg sales. We use best‐worst scaling and discrete choice experiments to evaluate U.S.
Vincenzina Caputo +3 more
wiley +1 more source
Data Heterogeneity or Non-IID (non-independent and identically distributed) data identification is one of the prominent challenges in Federated Learning (FL).
Md. Rahad +5 more
doaj +1 more source
ABSTRACT Agricultural soils offer great potential for carbon sequestration through humus formation. One way to motivate farmers to build up humus is through humus programs. These are still at an early stage of development, poorly explored, and the number of participating farmers is low. Our aim is to explain the heterogeneity of farmers' willingness to
Julia B. Block +2 more
wiley +1 more source

