Results 151 to 160 of about 384,787 (322)
Price Premiums for Single‐Name and Compound‐Name Geographical Indications in Swiss Cheese Trade
ABSTRACT Geographical indications (GIs) have become increasingly important in agri‐food markets, especially in Europe. For Swiss cheese imports and exports, we analyze whether GIs are associated with higher trade prices. We find that price premiums can be obtained for both exports and imports. However, this is only the case for cheeses with single name
Judith Irek
wiley +1 more source
Ergodic and central limit theorems in statistical mechanics in continuous case [PDF]
Krystyna Parczyk
openalex +1 more source
Central limit theorem and Self-normalized Cramér-type moderate deviation for Euler-Maruyama Scheme [PDF]
Jianya Lu, Yuzhen Tan, Lihu Xu
openalex +1 more source
ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
Nonparametric Functional Central Limit Theorem for Time Series Regression with Application to Self-normalized Confidence Interval. [PDF]
Kim S, Zhao Z, Shao X.
europepmc +1 more source
Martingale central limit theorems without uniform asymptotic negligibility [PDF]
Robert J. Adler, David John Scott
openalex +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
A Central Limit Theorem for Fleming-Viot Particle Systems with Soft Killing [PDF]
Frédéric Cérou +3 more
openalex +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source

