On Measuring the Welfare Cost of Inflation
Abstract This paper uses neoclassical monetary demand theory to measure the welfare cost of inflation. It uses the microeconomic‐ and aggregation‐theoretic approach to the demand for money, that integrates the demand for money with the demands for consumption and leisure, and provides a comparison between the consumer surplus approach based on ...
APOSTOLOS SERLETIS, LIBO XU
wiley +1 more source
The Mixed Gamble of Competitive Dynamics in Family‐Controlled Firms
Abstract We extend the mixed gamble perspective to explain how family‐controlled firms frame and evaluate the difficult trade‐off between potential gains and losses in financial wealth (FW) and socioemotional wealth (SEW) when pursuing portfolio‐level strategic initiatives, as captured by competitive aggressiveness and complexity.
Jaeyoung Cho +2 more
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Molecular classification of hormone-sensitive and castration-resistant prostate cancer, using nonnegative matrix factorization molecular subtyping of primary and metastatic specimens. [PDF]
Yuen KC +12 more
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Automated Bandwidth Selection for Inference in Linear Models With Time‐Varying Coefficients
ABSTRACT The problem of selecting the smoothing parameter, or bandwidth, for kernel‐based estimators of time‐varying coefficients in linear models with possibly endogenous explanatory variables is considered. We examine automated bandwidth selection by means of cross‐validation, a nonparametric variant of Akaike's information criterion, and bootstrap ...
Charisios Grivas, Zacharias Psaradakis
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Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network. [PDF]
Velumani R +5 more
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ABSTRACT We propose a new formulation of the Vašičekmodel within the framework of functional data analysis. We treat observations (continuous‐time rates) within a suitably defined trading day as a single statistical object. We then consider a sequence of such objects, indexed by day.
Piotr Kokoszka +4 more
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Predicting deleterious missense genetic variants via integrative supervised nonnegative matrix tri-factorization. [PDF]
Arani AA, Sehhati M, Tabatabaiefar MA.
europepmc +1 more source
Sequential Outlier Detection in Nonstationary Time Series
ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs +2 more
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UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization. [PDF]
Kriebel AR, Welch JD.
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ABSTRACT Traditional graph representations are insufficient for modelling real‐world phenomena involving multi‐entity interactions, such as collaborative projects or protein complexes, necessitating the use of hypergraphs. While hypergraphs preserve the intrinsic nature of such complex relationships, existing models often overlook temporal evolution in
Xianghe Zhu, Qiwei Yao
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