An embedding of Schwartz distributions in the algebra of asymptotic functions [PDF]
Michael Oberguggenberger, Todor Todorov
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ABSTRACT This study examines the impact of self‐checkout technology implementation on B2B customer shopping behavior using a novel methodological approach that combines propensity score matching with difference‐in‐differences analysis on actual point‐of‐sale transaction data.
Jindřich Špička +1 more
wiley +1 more source
Tree Height and the Asymptotic Mean of the Colijn-Plazzotta Rank of Unlabeled Binary Rooted Trees. [PDF]
Devroye L +3 more
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Large-Sample Asymptotic Approximations for the Sampling and Posterior Distributions of Differential Entropy for Multivariate Normal Distributions [PDF]
Guillaume Marrelec, Habib Benali
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On the Influence of Catalyst Mesopore Structure in the Catalytic Cracking of Polypropylene
Catalytic cracking is a promising approach to convert polyolefin plastics into hydrocarbons. Herein, the effect of catalyst pore size in polypropylene cracking using amorphous silica–alumina with identical external acidity, but varying mesopore diameters and particle sizes, is isolated. Mesopore size has minimal effect on activity, indicating that high
Sebastian Rejman +7 more
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Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
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Automated Learning of a Dense Manifold of Electronic States and Electronic Energy Transfer and Reactions in Singlet O Collisions with N<sub>2</sub>. [PDF]
Meng Q +4 more
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Second order asymptotic distributional representations of m-estimators of general parameters
Jana Jurečková, Pranab Kumar Sen
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Restricted Tweedie stochastic block models
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
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