Results 171 to 180 of about 7,666,134 (279)
Stochastic control and mathematical modeling: applications in economics
Introduces stochastic control and mathematical modelling to researchers and graduate students in applied mathematics, mathematical economics, and non-linear PDE ...
Morimoto, Hiraoki, Morimoto, Hiroaki
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Sequential Pressurized Liquid Extraction of Food Matrices: Fractionation, Selectivity, and Scale‐Up
Sequential pressurized liquid extraction separates food‐processing side streams into chemically distinct fractions by changing solvent polarity and operating conditions across stages. Lipophilic and phenolic compounds are recovered selectively, while co‐extraction is reduced.
Derya Ozalp Unal
wiley +1 more source
Making dynamic modelling effective in economics [PDF]
Mathematics has been extremely effective in physics, but not in economics beyond finance. To establish economics as science we should follow the Galilean method and try to deduce mathematical models of markets from empirical data, as has been done for ...
McCauley, Joseph L.
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Copula‐based joint modelling of emergency department visits with time‐varying dependence
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Mitigating measurement error in misspecified small area models
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese +3 more
wiley +1 more source
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source
Economics and psychology.Perfect rationality versus bounded rationality [PDF]
Classical mathematical algorithms often fail to identify in time when the international financial crises occur although, as the classical theory of choice would suggest, the economic agents are rational and the markets are or should be efficient and ...
Schilirò, Daniele
core
Beyond the Human Negotiator: Generative AI and the Threshold of Autonomous Decision‐Making
ABSTRACT This article provides a comprehensive framework for understanding the role of artificial intelligence (AI) in negotiation, evaluating contemporary systems through the specific case study of Large Language Models (LLMs). To address the lack of established terminology, it first proposes a new typology distinguishing Negotiation Supported by AI ...
Martin Svatos
wiley +1 more source
Where did the ?new urban economics? go? [PDF]
The notion of the ?New Urban Economics? emerged in the late 1960s as more rigorous approaches were applied to what had largely hitherto been an essentially descriptive approach to analyzing urban economies.
Kenneth Button
core

